{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX C RESULTS.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}25 Dec 2024, 21:54:08
{txt}
{com}. 
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. **** JSB UPDATED DATABASE: ADDING EXECUTIVE NOMINATION POSITIONS COVERED IN OSTRANDER DATABASE FROM MAY 2012 THROUGH DECEMBER 2020 AND UPDATING ALL OTHER DATA [SUMMER/FALL 2023]: /// 
> *** ADDITIONAL VARIABLES ADDED IN MARCH 2024 IN RESPSONSE TO LSQ REFEREE REPORTS ****
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. **** "EXECUTIVE DEFERENCE OR LEGISLATIVE CONSTRAINT? COMMITTEE FOUNDATIONS OF CONFIRMATION DELAY FOR U.S. EXECUTIVE BRANCH APPOINTMENTS" [KRAUSE & BYERS] ****
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. ***  APPENDIX C: SUBSAMPLE SENSITIVITY ANALYSES: (1) OMIT NON-MAJOR POLICY AGENCY NOMINATIONS (I.E., CONTAINING ONLY MAJOR POLICY AGENCY NOMINEE OBSERVATIONS [N = 2,494; 25.25% of full sample];  ***
. ***                                              (2) OMIT FIRST 90 DAYS 'INITIAL WAVE' NOMINEES PER NEW ADMINISTRATION [N = 449; 4.54% of full sample];   ***
. ***                                              (3) OMIT RULE 31 NOMINATIONS RENOMINATED IN SAME CONGRESS [N = 563; 5.70% of full sample]  ***   
. ***                                                                                              (4) OMIT POST-NUCLEAR OPTION [NOVEMBER 21, 2013] EXECUTIVE NOMINATIONS [N = 8,222; 83.23% of full sample]  
. ***                                              (5) COMPARE LOW COMMITTEE MEAN DELAY PRESIDENTS [REAGAN, BUSH 43, & OBAMA] TO HIGH COMMITTEE MEAN DELAY PRESIDENTS [BUSH41, CLINTON, & TRUMP] 
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. *** COMMITTEE CONTROL COVARIATES:       experience_median [MODELS C1, C3, C5, C7, C9, C11, C13, & C15] / chair_experience_1 [MODELS C2, C4, C6, C8, C10, C12, C14, & C16]; ///
> ***                                                                             ln_combills_workload; committeestaffsize [# Committee Staff]   
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. *** OSTRANDER CONTROL COVARIATES:       sendivide  polarization pres_app_m first90 preselection lameduck workload [Executive Civilian Nominations: Senate] 
. ***                                                                             female priorconfirm _Itier_2 _Itier_3 _Itier_4 defense infrastructure social
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. *** ADDITIONAL CONTROL COVARIATES:      pressenfloorabsdist [-] [|Senate Floor Median - President|]; kv_workload (# civilian executive nominations made in a given year/session)        
. ***                                                                             denied [-] [nominee previously denied in same Congress]; fvra [+] [= 1 if subject to FVRA 1998, = 0 otherwise]; 
. ***                                                                             firstrecess[-] [= 1 is nominated in July or August affected by August Recess, = 0 otherwise]; 
. ***                                                                     secondrecess [-] [= 1 is nominated in November or December affected by December Recess, = 0 otherwise]; major policy agency binary indicator [-];                      
. ***                                     committee-level & pressidential administration unit/fixed effects.
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.  * OPEN UPDATED "CONFIRMATION DELAY & SENATE COMMITTEES PROJECT" MANUSCRIPT DATABASE [12-23-2024] *
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. *use "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Data\Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
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. use "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Data/Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
{txt}
{com}. 
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. ***  SUBSAMPLE SENSITIVITY ANALYSES: (1) OMIT NON-MAJOR POLICY AGENCY NOMINATIONS (I.E., CONTAINING ONLY MAJOR POLICY AGENCY NOMINEE OBSERVATIONS [N = 2,494; 25.25% of full sample])  ***
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. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
. *
. *
. *
. *
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C1: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1  i.presrev  if policy_majagency==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-44500.448
{txt}Iteration 1:  Log pseudolikelihood = {res}-44217.046
{txt}Iteration 2:  Log pseudolikelihood = {res}-43869.698
{txt}Iteration 3:  Log pseudolikelihood = {res}-43846.196
{txt}Iteration 4:  Log pseudolikelihood = {res}-43845.889
{txt}Iteration 5:  Log pseudolikelihood = {res}-43845.889
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-43845.889

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:7,385}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:7,385}
{txt}No. of failures = {res}{ralign 7:5,469}
{txt}Time at risk    = {res}{ralign 7:689,273}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:36228.87}
{txt}Log pseudolikelihood = {res}-43845.889{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .5718272{col 29}{space 2} .3487163{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4} .1730527{col 70}{space 3}  1.88952
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3023608{col 29}{space 2} .1502516{col 40}{space 1}   -2.41{col 49}{space 3}0.016{col 57}{space 4} .1141667{col 70}{space 3} .8007768
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 4.722106{col 29}{space 2} 2.831564{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} 1.457878{col 70}{space 3} 15.29503
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .9627317{col 29}{space 2}  .642634{col 40}{space 1}   -0.06{col 49}{space 3}0.955{col 57}{space 4}  .260207{col 70}{space 3} 3.561981
{txt}experience_me~n {c |}{col 17}{res}{space 2}  .989622{col 29}{space 2} .0120993{col 40}{space 1}   -0.85{col 49}{space 3}0.394{col 57}{space 4} .9661897{col 70}{space 3} 1.013623
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9902393{col 29}{space 2} .0044448{col 40}{space 1}   -2.19{col 49}{space 3}0.029{col 57}{space 4} .9815659{col 70}{space 3} .9989894
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8751662{col 29}{space 2} .0962818{col 40}{space 1}   -1.21{col 49}{space 3}0.226{col 57}{space 4} .7054159{col 70}{space 3} 1.085765
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001484{col 29}{space 2} .0015955{col 40}{space 1}    0.93{col 49}{space 3}0.352{col 57}{space 4} .9983614{col 70}{space 3} 1.004616
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.766066{col 29}{space 2} .2643055{col 40}{space 1}   10.65{col 49}{space 3}0.000{col 57}{space 4} 2.293654{col 70}{space 3} 3.335779
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6948447{col 29}{space 2} .0591497{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4} .5880685{col 70}{space 3} .8210084
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8157989{col 29}{space 2} .0670213{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4} .6944697{col 70}{space 3} .9583252
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999721{col 29}{space 2} .0000275{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4} .9999182{col 70}{space 3} 1.000026
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0537719{col 29}{space 2} .0622847{col 40}{space 1}   -2.52{col 49}{space 3}0.012{col 57}{space 4} .0055539{col 70}{space 3} .5206101
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001128{col 29}{space 2} .0015481{col 40}{space 1}    0.73{col 49}{space 3}0.466{col 57}{space 4} .9980982{col 70}{space 3} 1.004167
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.019538{col 29}{space 2} .0503865{col 40}{space 1}    0.39{col 49}{space 3}0.695{col 57}{space 4} .9254141{col 70}{space 3} 1.123235
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9718503{col 29}{space 2} .0416157{col 40}{space 1}   -0.67{col 49}{space 3}0.505{col 57}{space 4}  .893614{col 70}{space 3} 1.056936
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .704139{col 29}{space 2} .0747191{col 40}{space 1}   -3.31{col 49}{space 3}0.001{col 57}{space 4} .5719182{col 70}{space 3} .8669278
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9300184{col 29}{space 2} .0445623{col 40}{space 1}   -1.51{col 49}{space 3}0.130{col 57}{space 4} .8466537{col 70}{space 3} 1.021591
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7651341{col 29}{space 2} .1261191{col 40}{space 1}   -1.62{col 49}{space 3}0.104{col 57}{space 4} .5539005{col 70}{space 3} 1.056923
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8348919{col 29}{space 2} .1168492{col 40}{space 1}   -1.29{col 49}{space 3}0.197{col 57}{space 4} .6345975{col 70}{space 3} 1.098404
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9718835{col 29}{space 2} .1042139{col 40}{space 1}   -0.27{col 49}{space 3}0.790{col 57}{space 4} .7876638{col 70}{space 3} 1.199189
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9419344{col 29}{space 2} .0718142{col 40}{space 1}   -0.78{col 49}{space 3}0.433{col 57}{space 4} .8111927{col 70}{space 3} 1.093748
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9602025{col 29}{space 2} .0565813{col 40}{space 1}   -0.69{col 49}{space 3}0.491{col 57}{space 4} .8554696{col 70}{space 3} 1.077758
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.252732{col 29}{space 2} .0662059{col 40}{space 1}    4.26{col 49}{space 3}0.000{col 57}{space 4} 1.129466{col 70}{space 3} 1.389452
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  .904404{col 29}{space 2} .0351661{col 40}{space 1}   -2.58{col 49}{space 3}0.010{col 57}{space 4} .8380406{col 70}{space 3} .9760227
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7219688{col 29}{space 2} .0514471{col 40}{space 1}   -4.57{col 49}{space 3}0.000{col 57}{space 4} .6278592{col 70}{space 3} .8301845
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.153298{col 29}{space 2}  .153929{col 40}{space 1}    1.07{col 49}{space 3}0.285{col 57}{space 4}  .887836{col 70}{space 3} 1.498132
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9546004{col 29}{space 2} .0827746{col 40}{space 1}   -0.54{col 49}{space 3}0.592{col 57}{space 4} .8054024{col 70}{space 3} 1.131437
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.632378{col 29}{space 2}  .449748{col 40}{space 1}   10.42{col 49}{space 3}0.000{col 57}{space 4} 2.849694{col 70}{space 3} 4.630029
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  1.51996{col 29}{space 2} .2518809{col 40}{space 1}    2.53{col 49}{space 3}0.012{col 57}{space 4} 1.098437{col 70}{space 3} 2.103243
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.717275{col 29}{space 2} .2327605{col 40}{space 1}    3.99{col 49}{space 3}0.000{col 57}{space 4} 1.316641{col 70}{space 3} 2.239816
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.261508{col 29}{space 2} .1162246{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} 1.053095{col 70}{space 3} 1.511167
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.236709{col 29}{space 2} .3644237{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4} .6941324{col 70}{space 3} 2.203398
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.132643{col 29}{space 2} .1462206{col 40}{space 1}    0.96{col 49}{space 3}0.335{col 57}{space 4} .8794392{col 70}{space 3} 1.458749
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.084962{col 29}{space 2} .2621044{col 40}{space 1}    0.34{col 49}{space 3}0.736{col 57}{space 4} .6757432{col 70}{space 3} 1.741996
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.444086{col 29}{space 2} .4082596{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4} .8297525{col 70}{space 3}  2.51326
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.407632{col 29}{space 2} .4810649{col 40}{space 1}    1.00{col 49}{space 3}0.317{col 57}{space 4} .7204219{col 70}{space 3} 2.750371
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .5005626{col 29}{space 2} .0508529{col 40}{space 1}   -6.81{col 49}{space 3}0.000{col 57}{space 4} .4101886{col 70}{space 3} .6108481
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.103308{col 29}{space 2} .2998354{col 40}{space 1}    0.36{col 49}{space 3}0.718{col 57}{space 4}    .6477{col 70}{space 3} 1.879402
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.215869{col 29}{space 2} .8709873{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} 1.025567{col 70}{space 3}  4.78767
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.477428{col 29}{space 2} .4455088{col 40}{space 1}    1.29{col 49}{space 3}0.196{col 57}{space 4} .8181485{col 70}{space 3} 2.667968
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6798141{col 29}{space 2} .1179224{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4} .4838808{col 70}{space 3} .9550847
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7661126{col 29}{space 2} .2284644{col 40}{space 1}   -0.89{col 49}{space 3}0.372{col 57}{space 4} .4270253{col 70}{space 3} 1.374458
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5259346{col 29}{space 2} .0555523{col 40}{space 1}   -6.08{col 49}{space 3}0.000{col 57}{space 4} .4275853{col 70}{space 3} .6469052
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9066979{col 29}{space 2} .0667631{col 40}{space 1}   -1.33{col 49}{space 3}0.183{col 57}{space 4} .7848486{col 70}{space 3} 1.047465
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.443877{col 29}{space 2} .3240122{col 40}{space 1}    1.64{col 49}{space 3}0.102{col 57}{space 4} .9300723{col 70}{space 3} 2.241524
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.544138{col 29}{space 2} .3713002{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4} .9638464{col 70}{space 3} 2.473798
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  1.24099{col 29}{space 2} .2776803{col 40}{space 1}    0.96{col 49}{space 3}0.335{col 57}{space 4} .8003976{col 70}{space 3} 1.924113
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.033348{col 29}{space 2} .2824163{col 40}{space 1}    0.12{col 49}{space 3}0.904{col 57}{space 4} .6047995{col 70}{space 3} 1.765558
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .9113174{col 29}{space 2} .3762276{col 40}{space 1}   -0.22{col 49}{space 3}0.822{col 57}{space 4} .4057516{col 70}{space 3} 2.046817
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      4,016
{txt}25%    {res} -.384061      -.5386078       {txt}Sum of wgt. {res}      4,016

{txt}50%    {res}-.2720448                      {txt}Mean          {res}-.1866582
                        {txt}Largest       Std. dev.     {res} .2314415
{txt}75%    {res}-.0442462        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0535652
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .7524218
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.697103
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.2916805
{txt} 5%    {res}-.1720448      -.1966079
{txt}10%    {res}-.0252148      -.1966079       {txt}Obs         {res}      3,369
{txt}25%    {res} .0844304      -.1966079       {txt}Sum of wgt. {res}      3,369

{txt}50%    {res} .2254305                      {txt}Mean          {res} .2086351
                        {txt}Largest       Std. dev.     {res} .1762924
{txt}75%    {res} .3323195        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res}  .031079
{txt}95%    {res}  .490939        .490939       {txt}Skewness      {res}-.3467406
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.671565
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.3398148 +  1.sendivide#c.committee_pres1 * 0.2478891) - committee_pres1 * 0.3398148, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.3398148+1.sendivide#c.committee_pres1*0.2478891)-committee_pres1*0.3398148

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.469301{col 26}{space 2} .2184032{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} 1.097955{col 67}{space 3} 1.966243
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC1 = r(table)
{txt}
{com}. mat list modelC1
{res}
{txt}modelC1[9,1]
               (1)
     b {res} 1.4693014
{txt}    se {res} .21840319
{txt}     z {res} 2.5886443
{txt}pvalue {res} .00963546
{txt}    ll {res} 1.0979554
{txt}    ul {res} 1.9662426
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
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. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C2: COX SEMIPARAMETRIC MODEL]] *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1  i.presrev  if policy_majagency==1, vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-44500.448
{txt}Iteration 1:  Log pseudolikelihood = {res}-44204.707
{txt}Iteration 2:  Log pseudolikelihood = {res}-43860.694
{txt}Iteration 3:  Log pseudolikelihood = {res}-43837.547
{txt}Iteration 4:  Log pseudolikelihood = {res}-43837.248
{txt}Iteration 5:  Log pseudolikelihood = {res}-43837.248
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-43837.248

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:7,385}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:7,385}
{txt}No. of failures = {res}{ralign 7:5,469}
{txt}Time at risk    = {res}{ralign 7:689,273}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:36886.76}
{txt}Log pseudolikelihood = {res}-43837.248{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .9332656{col 29}{space 2} .2172449{col 40}{space 1}   -0.30{col 49}{space 3}0.767{col 57}{space 4} .5913752{col 70}{space 3} 1.472812
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .4454156{col 29}{space 2} .1546305{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4} .2255601{col 70}{space 3} .8795661
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.155748{col 29}{space 2} .7957629{col 40}{space 1}    2.08{col 49}{space 3}0.037{col 57}{space 4} 1.045657{col 70}{space 3} 4.444333
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .6772477{col 29}{space 2} .3847889{col 40}{space 1}   -0.69{col 49}{space 3}0.493{col 57}{space 4} .2223945{col 70}{space 3} 2.062391
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.009044{col 29}{space 2} .0039606{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} 1.001311{col 70}{space 3} 1.016836
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9896533{col 29}{space 2} .0047618{col 40}{space 1}   -2.16{col 49}{space 3}0.031{col 57}{space 4} .9803642{col 70}{space 3} .9990303
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8578222{col 29}{space 2} .0808676{col 40}{space 1}   -1.63{col 49}{space 3}0.104{col 57}{space 4} .7131056{col 70}{space 3} 1.031907
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2}  1.00211{col 29}{space 2} .0012686{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4}  .999627{col 70}{space 3}   1.0046
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.777009{col 29}{space 2} .2443387{col 40}{space 1}   11.61{col 49}{space 3}0.000{col 57}{space 4} 2.337132{col 70}{space 3} 3.299677
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6865138{col 29}{space 2} .0620248{col 40}{space 1}   -4.16{col 49}{space 3}0.000{col 57}{space 4} .5751027{col 70}{space 3} .8195081
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8235625{col 29}{space 2} .0722531{col 40}{space 1}   -2.21{col 49}{space 3}0.027{col 57}{space 4} .6934555{col 70}{space 3} .9780802
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999824{col 29}{space 2} .0000294{col 40}{space 1}   -0.60{col 49}{space 3}0.550{col 57}{space 4} .9999249{col 70}{space 3}  1.00004
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0255935{col 29}{space 2} .0310386{col 40}{space 1}   -3.02{col 49}{space 3}0.003{col 57}{space 4} .0023759{col 70}{space 3} .2756936
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.000918{col 29}{space 2} .0015612{col 40}{space 1}    0.59{col 49}{space 3}0.556{col 57}{space 4} .9978633{col 70}{space 3} 1.003983
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.015148{col 29}{space 2} .0508671{col 40}{space 1}    0.30{col 49}{space 3}0.764{col 57}{space 4} .9201894{col 70}{space 3} 1.119905
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9702133{col 29}{space 2}  .041724{col 40}{space 1}   -0.70{col 49}{space 3}0.482{col 57}{space 4} .8917874{col 70}{space 3} 1.055536
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .7025599{col 29}{space 2} .0775749{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4} .5658428{col 70}{space 3} .8723101
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9181116{col 29}{space 2}  .044413{col 40}{space 1}   -1.77{col 49}{space 3}0.077{col 57}{space 4} .8350629{col 70}{space 3}  1.00942
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .758776{col 29}{space 2} .1258272{col 40}{space 1}   -1.66{col 49}{space 3}0.096{col 57}{space 4} .5482258{col 70}{space 3}  1.05019
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8367069{col 29}{space 2} .1167726{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4} .6364699{col 70}{space 3}  1.09994
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9757588{col 29}{space 2} .1058694{col 40}{space 1}   -0.23{col 49}{space 3}0.821{col 57}{space 4} .7888375{col 70}{space 3} 1.206973
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9396511{col 29}{space 2}  .066606{col 40}{space 1}   -0.88{col 49}{space 3}0.380{col 57}{space 4} .8177682{col 70}{space 3}   1.0797
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9738323{col 29}{space 2} .0583414{col 40}{space 1}   -0.44{col 49}{space 3}0.658{col 57}{space 4} .8659434{col 70}{space 3} 1.095163
{txt}{space 11}fvra {c |}{col 17}{res}{space 2}  1.25033{col 29}{space 2}  .068464{col 40}{space 1}    4.08{col 49}{space 3}0.000{col 57}{space 4} 1.123093{col 70}{space 3} 1.391983
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9040945{col 29}{space 2} .0355943{col 40}{space 1}   -2.56{col 49}{space 3}0.010{col 57}{space 4} .8369547{col 70}{space 3} .9766202
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7345869{col 29}{space 2} .0515597{col 40}{space 1}   -4.39{col 49}{space 3}0.000{col 57}{space 4} .6401746{col 70}{space 3} .8429231
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.074345{col 29}{space 2} .1127904{col 40}{space 1}    0.68{col 49}{space 3}0.495{col 57}{space 4} .8745413{col 70}{space 3} 1.319798
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9962725{col 29}{space 2} .0677307{col 40}{space 1}   -0.05{col 49}{space 3}0.956{col 57}{space 4} .8719869{col 70}{space 3} 1.138273
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.632913{col 29}{space 2} .4224417{col 40}{space 1}   11.09{col 49}{space 3}0.000{col 57}{space 4} 2.892516{col 70}{space 3}  4.56283
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.502349{col 29}{space 2}  .241255{col 40}{space 1}    2.53{col 49}{space 3}0.011{col 57}{space 4} 1.096681{col 70}{space 3} 2.058075
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.780585{col 29}{space 2} .1999196{col 40}{space 1}    5.14{col 49}{space 3}0.000{col 57}{space 4} 1.428867{col 70}{space 3} 2.218878
{txt}{space 13}7  {c |}{col 17}{res}{space 2}  1.36177{col 29}{space 2} .1175388{col 40}{space 1}    3.58{col 49}{space 3}0.000{col 57}{space 4}  1.14983{col 70}{space 3} 1.612775
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.276812{col 29}{space 2} .3621386{col 40}{space 1}    0.86{col 49}{space 3}0.389{col 57}{space 4} .7323238{col 70}{space 3} 2.226132
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.157845{col 29}{space 2}  .144147{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4} .9071502{col 70}{space 3}  1.47782
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.204165{col 29}{space 2} .3105733{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4} .7263528{col 70}{space 3} 1.996293
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.556308{col 29}{space 2} .4627502{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4} .8689612{col 70}{space 3} 2.787343
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.620998{col 29}{space 2} .6163575{col 40}{space 1}    1.27{col 49}{space 3}0.204{col 57}{space 4} .7693557{col 70}{space 3}  3.41537
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .5385585{col 29}{space 2} .0514545{col 40}{space 1}   -6.48{col 49}{space 3}0.000{col 57}{space 4} .4465891{col 70}{space 3} .6494679
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  1.14528{col 29}{space 2} .2583233{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4}   .73607{col 70}{space 3} 1.781985
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.211873{col 29}{space 2} .9244754{col 40}{space 1}    1.90{col 49}{space 3}0.058{col 57}{space 4} .9749707{col 70}{space 3} 5.017978
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.638131{col 29}{space 2} .5219276{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4} .8772952{col 70}{space 3} 3.058801
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .7308565{col 29}{space 2} .1345662{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .5094574{col 70}{space 3} 1.048471
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7638262{col 29}{space 2}  .205798{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4} .4504587{col 70}{space 3} 1.295192
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5560739{col 29}{space 2} .0495385{col 40}{space 1}   -6.59{col 49}{space 3}0.000{col 57}{space 4} .4669842{col 70}{space 3} .6621598
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9183131{col 29}{space 2} .0761006{col 40}{space 1}   -1.03{col 49}{space 3}0.304{col 57}{space 4} .7806416{col 70}{space 3} 1.080264
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.368257{col 29}{space 2} .2958827{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4} .8955651{col 70}{space 3} 2.090443
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.424214{col 29}{space 2} .3547139{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4} .8741288{col 70}{space 3} 2.320465
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.263324{col 29}{space 2} .3318282{col 40}{space 1}    0.89{col 49}{space 3}0.374{col 57}{space 4} .7549807{col 70}{space 3} 2.113945
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.133546{col 29}{space 2} .3365257{col 40}{space 1}    0.42{col 49}{space 3}0.673{col 57}{space 4} .6334835{col 70}{space 3} 2.028349
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.137075{col 29}{space 2} .3850526{col 40}{space 1}    0.38{col 49}{space 3}0.704{col 57}{space 4}  .585522{col 70}{space 3} 2.208184
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5473055      -.7163319
{txt}10%    {res}-.5245913      -.7163319       {txt}Obs         {res}      4,016
{txt}25%    {res}-.4537927      -.7163319       {txt}Sum of wgt. {res}      4,016

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3101909
                        {txt}Largest       Std. dev.     {res} .2505985
{txt}75%    {res}-.1847167       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0627996
{txt}95%    {res} .1718941       .6940686       {txt}Skewness      {res} 1.842304
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.074392
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.4493055
{txt} 5%    {res}-.0833319      -.3632139
{txt}10%    {res} .0834087      -.3632139       {txt}Obs         {res}      3,369
{txt}25%    {res} .2549588      -.3517167       {txt}Sum of wgt. {res}      3,369

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3521655
                        {txt}Largest       Std. dev.     {res}  .205454
{txt}75%    {res} .4938942       .7534087
{txt}90%    {res} .5657861       .7534087       {txt}Variance      {res} .0422114
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.8138056
{txt}99%    {res} .6940686       .8284615       {txt}Kurtosis      {res} 4.026829
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.269076 +  1.sendivide#c.chair_pres1 * 0.2389354) - chair_pres1 * 0.269076, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.269076+1.sendivide#c.chair_pres1*0.2389354)-chair_pres1*0.269076

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.201457{col 26}{space 2}  .105968{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} 1.010724{col 67}{space 3} 1.428183
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC2= r(table)
{txt}
{com}. mat list modelC2
{res}
{txt}modelC2[9,1]
               (1)
     b {res} 1.2014573
{txt}    se {res} .10596797
{txt}     z {res} 2.0809099
{txt}pvalue {res} .03744215
{txt}    ll {res} 1.0107245
{txt}    ul {res} 1.4281832
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
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.  
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. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C3: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess  i.kbcom_1  i.presrev  if policy_majagency==1, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-10612.331
{txt}Iteration 1:  Log pseudolikelihood = {res}-10602.324
{txt}Iteration 2:  Log pseudolikelihood = {res}-10602.324

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-10602.324}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-10394.019}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-9893.0524}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-9875.9229}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-9875.8649}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-9875.8649}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:7,385}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:7,385}
{txt}No. of failures = {res}{ralign 7:5,469}
{txt}Time at risk    = {res}{ralign 7:689,273}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-9875.8649{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .5710855{col 29}{space 2}    .4304{col 40}{space 1}   -0.74{col 49}{space 3}0.457{col 57}{space 4}  .130374{col 70}{space 3} 2.501562
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2597982{col 29}{space 2} .1501132{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4} .0837155{col 70}{space 3} .8062437
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 5.739469{col 29}{space 2} 3.916935{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4} 1.506483{col 70}{space 3}  21.8665
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .7885792{col 29}{space 2} .6566495{col 40}{space 1}   -0.29{col 49}{space 3}0.775{col 57}{space 4} .1541879{col 70}{space 3} 4.033113
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9910159{col 29}{space 2} .0135624{col 40}{space 1}   -0.66{col 49}{space 3}0.510{col 57}{space 4} .9647875{col 70}{space 3} 1.017957
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9887621{col 29}{space 2}   .00483{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4} .9793406{col 70}{space 3} .9982742
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2}  .836934{col 29}{space 2} .0920396{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4} .6746562{col 70}{space 3} 1.038245
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001207{col 29}{space 2} .0018973{col 40}{space 1}    0.64{col 49}{space 3}0.524{col 57}{space 4} .9974957{col 70}{space 3} 1.004933
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.549979{col 29}{space 2}  .235244{col 40}{space 1}   10.15{col 49}{space 3}0.000{col 57}{space 4}  2.12819{col 70}{space 3} 3.055362
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7945456{col 29}{space 2} .0712141{col 40}{space 1}   -2.57{col 49}{space 3}0.010{col 57}{space 4} .6665408{col 70}{space 3} .9471328
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8088513{col 29}{space 2} .0714037{col 40}{space 1}   -2.40{col 49}{space 3}0.016{col 57}{space 4} .6803407{col 70}{space 3} .9616366
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999319{col 29}{space 2}   .00003{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4}  .999873{col 70}{space 3} .9999908
{txt}{space 3}polarization {c |}{col 17}{res}{space 2}  .031689{col 29}{space 2} .0449147{col 40}{space 1}   -2.44{col 49}{space 3}0.015{col 57}{space 4} .0019699{col 70}{space 3} .5097607
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001179{col 29}{space 2} .0017471{col 40}{space 1}    0.68{col 49}{space 3}0.500{col 57}{space 4} .9977602{col 70}{space 3} 1.004609
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.020767{col 29}{space 2} .0579822{col 40}{space 1}    0.36{col 49}{space 3}0.717{col 57}{space 4} .9132217{col 70}{space 3} 1.140978
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9424976{col 29}{space 2} .0448581{col 40}{space 1}   -1.24{col 49}{space 3}0.213{col 57}{space 4} .8585535{col 70}{space 3} 1.034649
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6389418{col 29}{space 2} .0665486{col 40}{space 1}   -4.30{col 49}{space 3}0.000{col 57}{space 4} .5209606{col 70}{space 3} .7836421
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9140107{col 29}{space 2} .0552502{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4} .8118911{col 70}{space 3} 1.028975
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .685915{col 29}{space 2} .1364337{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4} .4644723{col 70}{space 3} 1.012933
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7894436{col 29}{space 2} .1198819{col 40}{space 1}   -1.56{col 49}{space 3}0.119{col 57}{space 4} .5862204{col 70}{space 3} 1.063118
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9189331{col 29}{space 2} .1117494{col 40}{space 1}   -0.70{col 49}{space 3}0.487{col 57}{space 4} .7240544{col 70}{space 3} 1.166263
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9327748{col 29}{space 2} .0826684{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4} .7840396{col 70}{space 3} 1.109726
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9477241{col 29}{space 2} .0824862{col 40}{space 1}   -0.62{col 49}{space 3}0.537{col 57}{space 4} .7990918{col 70}{space 3} 1.124002
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.269665{col 29}{space 2} .0690553{col 40}{space 1}    4.39{col 49}{space 3}0.000{col 57}{space 4} 1.141283{col 70}{space 3} 1.412488
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  .949633{col 29}{space 2} .0448999{col 40}{space 1}   -1.09{col 49}{space 3}0.274{col 57}{space 4} .8655853{col 70}{space 3} 1.041842
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7433101{col 29}{space 2} .0579014{col 40}{space 1}   -3.81{col 49}{space 3}0.000{col 57}{space 4}  .638064{col 70}{space 3} .8659161
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.213555{col 29}{space 2} .1938526{col 40}{space 1}    1.21{col 49}{space 3}0.226{col 57}{space 4} .8873375{col 70}{space 3} 1.659701
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9752993{col 29}{space 2} .0995714{col 40}{space 1}   -0.24{col 49}{space 3}0.806{col 57}{space 4} .7984285{col 70}{space 3} 1.191351
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.118694{col 29}{space 2} .3555073{col 40}{space 1}    9.98{col 49}{space 3}0.000{col 57}{space 4} 2.494263{col 70}{space 3} 3.899449
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.717558{col 29}{space 2} .3134884{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4}  1.20102{col 70}{space 3}  2.45625
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.925923{col 29}{space 2} .2812227{col 40}{space 1}    4.49{col 49}{space 3}0.000{col 57}{space 4} 1.446594{col 70}{space 3} 2.564077
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.389713{col 29}{space 2} .1329085{col 40}{space 1}    3.44{col 49}{space 3}0.001{col 57}{space 4} 1.152175{col 70}{space 3} 1.676223
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.379682{col 29}{space 2} .4290302{col 40}{space 1}    1.04{col 49}{space 3}0.301{col 57}{space 4} .7500441{col 70}{space 3} 2.537881
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.163567{col 29}{space 2} .1786639{col 40}{space 1}    0.99{col 49}{space 3}0.324{col 57}{space 4} .8611737{col 70}{space 3} 1.572143
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.275276{col 29}{space 2} .3423397{col 40}{space 1}    0.91{col 49}{space 3}0.365{col 57}{space 4} .7535372{col 70}{space 3}  2.15826
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.552597{col 29}{space 2} .4394905{col 40}{space 1}    1.55{col 49}{space 3}0.120{col 57}{space 4} .8914783{col 70}{space 3}    2.704
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.608785{col 29}{space 2} .6174293{col 40}{space 1}    1.24{col 49}{space 3}0.215{col 57}{space 4} .7582605{col 70}{space 3} 3.413322
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .4973357{col 29}{space 2} .0611404{col 40}{space 1}   -5.68{col 49}{space 3}0.000{col 57}{space 4} .3908467{col 70}{space 3} .6328383
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.036663{col 29}{space 2}  .276663{col 40}{space 1}    0.13{col 49}{space 3}0.893{col 57}{space 4}  .614427{col 70}{space 3} 1.749061
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.630597{col 29}{space 2} 1.143046{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4} 1.122511{col 70}{space 3} 6.164786
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.715935{col 29}{space 2} .5757147{col 40}{space 1}    1.61{col 49}{space 3}0.108{col 57}{space 4} .8890245{col 70}{space 3} 3.311984
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6094276{col 29}{space 2} .1396856{col 40}{space 1}   -2.16{col 49}{space 3}0.031{col 57}{space 4}  .388884{col 70}{space 3} .9550457
{txt}{space 12}18  {c |}{col 17}{res}{space 2}   .53496{col 29}{space 2} .1666637{col 40}{space 1}   -2.01{col 49}{space 3}0.045{col 57}{space 4} .2904921{col 70}{space 3} .9851634
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5496632{col 29}{space 2} .0632513{col 40}{space 1}   -5.20{col 49}{space 3}0.000{col 57}{space 4} .4386787{col 70}{space 3} .6887265
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9543178{col 29}{space 2} .1060573{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4} .7675302{col 70}{space 3} 1.186562
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.58822{col 29}{space 2} .3954209{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4} .9749583{col 70}{space 3} 2.587231
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.565319{col 29}{space 2} .4258095{col 40}{space 1}    1.65{col 49}{space 3}0.100{col 57}{space 4}  .918444{col 70}{space 3} 2.667798
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.305822{col 29}{space 2} .3184421{col 40}{space 1}    1.09{col 49}{space 3}0.274{col 57}{space 4}  .809668{col 70}{space 3} 2.106011
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.165631{col 29}{space 2} .3639607{col 40}{space 1}    0.49{col 49}{space 3}0.624{col 57}{space 4} .6320896{col 70}{space 3} 2.149528
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .9818156{col 29}{space 2} .4669217{col 40}{space 1}   -0.04{col 49}{space 3}0.969{col 57}{space 4} .3865665{col 70}{space 3}  2.49365
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .5878398{col 29}{space 2} .5333417{col 40}{space 1}   -0.59{col 49}{space 3}0.558{col 57}{space 4} .0993051{col 70}{space 3} 3.479737
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0616336{col 29}{space 2} .0184381{col 40}{space 1}    3.34{col 49}{space 3}0.001{col 57}{space 4} .0254955{col 70}{space 3} .0977716
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.063573{col 29}{space 2} .0196103{col 57}{space 4} 1.025823{col 70}{space 3} 1.102711
{txt}            1/p {c |}{col 17}{res}{space 2} .9402274{col 29}{space 2}  .017336{col 57}{space 4}  .906856{col 70}{space 3} .9748267
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      4,016
{txt}25%    {res} -.384061      -.5386078       {txt}Sum of wgt. {res}      4,016

{txt}50%    {res}-.2720448                      {txt}Mean          {res}-.1866582
                        {txt}Largest       Std. dev.     {res} .2314415
{txt}75%    {res}-.0442462        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0535652
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .7524218
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.697103
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.2916805
{txt} 5%    {res}-.1720448      -.1966079
{txt}10%    {res}-.0252148      -.1966079       {txt}Obs         {res}      3,369
{txt}25%    {res} .0844304      -.1966079       {txt}Sum of wgt. {res}      3,369

{txt}50%    {res} .2254305                      {txt}Mean          {res} .2086351
                        {txt}Largest       Std. dev.     {res} .1762924
{txt}75%    {res} .3323195        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res}  .031079
{txt}95%    {res}  .490939        .490939       {txt}Skewness      {res}-.3467406
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.671565
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.3398148 +  1.sendivide#c.committee_pres1 * 0.2478891) - committee_pres1 * 0.3398148, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.3398148+1.sendivide#c.committee_pres1*0.2478891)-committee_pres1*0.3398148

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.542112{col 26}{space 2} .2608844{col 37}{space 1}    2.56{col 46}{space 3}0.010{col 54}{space 4} 1.106918{col 67}{space 3} 2.148408
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC3 = r(table)
{txt}
{com}. mat list modelC3
{res}
{txt}modelC3[9,1]
               (1)
     b {res} 1.5421124
{txt}    se {res} .26088441
{txt}     z {res} 2.5604093
{txt}pvalue {res}  .0104549
{txt}    ll {res} 1.1069178
{txt}    ul {res} 2.1484077
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C4: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1 i.presrev  if policy_majagency==1, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-10612.331
{txt}Iteration 1:  Log pseudolikelihood = {res}-10602.324
{txt}Iteration 2:  Log pseudolikelihood = {res}-10602.324

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-10602.324}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-10371.979}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -9877.553}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-9860.1423}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-9860.0888}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-9860.0888}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:7,385}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:7,385}
{txt}No. of failures = {res}{ralign 7:5,469}
{txt}Time at risk    = {res}{ralign 7:689,273}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-9860.0888{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.066802{col 29}{space 2} .3114113{col 40}{space 1}    0.22{col 49}{space 3}0.825{col 57}{space 4} .6020168{col 70}{space 3} 1.890423
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3892613{col 29}{space 2}   .16177{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4} .1723841{col 70}{space 3} .8789927
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.346245{col 29}{space 2} 1.071882{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4} .9583005{col 70}{space 3} 5.744404
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2}  .471452{col 29}{space 2} .3199141{col 40}{space 1}   -1.11{col 49}{space 3}0.268{col 57}{space 4} .1246912{col 70}{space 3} 1.782539
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.010142{col 29}{space 2} .0039735{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} 1.002384{col 70}{space 3}  1.01796
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9883917{col 29}{space 2} .0054679{col 40}{space 1}   -2.11{col 49}{space 3}0.035{col 57}{space 4} .9777327{col 70}{space 3} .9991669
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8064623{col 29}{space 2} .0794193{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4}  .664904{col 70}{space 3} .9781585
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001694{col 29}{space 2} .0014119{col 40}{space 1}    1.20{col 49}{space 3}0.230{col 57}{space 4}  .998931{col 70}{space 3} 1.004466
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.550326{col 29}{space 2} .2118233{col 40}{space 1}   11.27{col 49}{space 3}0.000{col 57}{space 4} 2.167191{col 70}{space 3} 3.001195
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7857334{col 29}{space 2} .0745503{col 40}{space 1}   -2.54{col 49}{space 3}0.011{col 57}{space 4} .6523991{col 70}{space 3}  .946318
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8172476{col 29}{space 2} .0856629{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}  .665475{col 70}{space 3} 1.003634
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999463{col 29}{space 2} .0000326{col 40}{space 1}   -1.64{col 49}{space 3}0.100{col 57}{space 4} .9998823{col 70}{space 3}  1.00001
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0118791{col 29}{space 2} .0176949{col 40}{space 1}   -2.98{col 49}{space 3}0.003{col 57}{space 4}  .000641{col 70}{space 3}  .220149
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.000921{col 29}{space 2} .0017701{col 40}{space 1}    0.52{col 49}{space 3}0.603{col 57}{space 4} .9974573{col 70}{space 3} 1.004396
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.017415{col 29}{space 2} .0584149{col 40}{space 1}    0.30{col 49}{space 3}0.764{col 57}{space 4} .9091313{col 70}{space 3} 1.138597
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9418073{col 29}{space 2}  .047205{col 40}{space 1}   -1.20{col 49}{space 3}0.232{col 57}{space 4} .8536865{col 70}{space 3} 1.039024
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6350014{col 29}{space 2} .0701264{col 40}{space 1}   -4.11{col 49}{space 3}0.000{col 57}{space 4} .5114135{col 70}{space 3} .7884554
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8973969{col 29}{space 2} .0569291{col 40}{space 1}   -1.71{col 49}{space 3}0.088{col 57}{space 4} .7924757{col 70}{space 3} 1.016209
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .677832{col 29}{space 2} .1329533{col 40}{space 1}   -1.98{col 49}{space 3}0.047{col 57}{space 4} .4614911{col 70}{space 3} .9955908
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7927953{col 29}{space 2} .1203564{col 40}{space 1}   -1.53{col 49}{space 3}0.126{col 57}{space 4} .5887593{col 70}{space 3}  1.06754
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9234215{col 29}{space 2} .1110578{col 40}{space 1}   -0.66{col 49}{space 3}0.508{col 57}{space 4} .7295044{col 70}{space 3} 1.168886
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9324508{col 29}{space 2} .0757829{col 40}{space 1}   -0.86{col 49}{space 3}0.389{col 57}{space 4} .7951451{col 70}{space 3} 1.093466
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9685891{col 29}{space 2} .0874788{col 40}{space 1}   -0.35{col 49}{space 3}0.724{col 57}{space 4} .8114517{col 70}{space 3} 1.156156
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.261672{col 29}{space 2} .0729444{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} 1.126507{col 70}{space 3} 1.413056
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9486447{col 29}{space 2} .0458811{col 40}{space 1}   -1.09{col 49}{space 3}0.276{col 57}{space 4} .8628499{col 70}{space 3}  1.04297
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7578481{col 29}{space 2} .0601299{col 40}{space 1}   -3.49{col 49}{space 3}0.000{col 57}{space 4} .6487021{col 70}{space 3} .8853583
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.112223{col 29}{space 2} .1427795{col 40}{space 1}    0.83{col 49}{space 3}0.407{col 57}{space 4} .8648096{col 70}{space 3} 1.430419
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  1.01188{col 29}{space 2} .0756428{col 40}{space 1}    0.16{col 49}{space 3}0.874{col 57}{space 4} .8739722{col 70}{space 3} 1.171549
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.034242{col 29}{space 2} .3711147{col 40}{space 1}    9.08{col 49}{space 3}0.000{col 57}{space 4} 2.387485{col 70}{space 3} 3.856201
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.703552{col 29}{space 2} .3160406{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} 1.184245{col 70}{space 3} 2.450581
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 2.036953{col 29}{space 2} .2426237{col 40}{space 1}    5.97{col 49}{space 3}0.000{col 57}{space 4} 1.612848{col 70}{space 3} 2.572578
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.536864{col 29}{space 2} .1293399{col 40}{space 1}    5.11{col 49}{space 3}0.000{col 57}{space 4} 1.303166{col 70}{space 3} 1.812472
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.475369{col 29}{space 2} .4643305{col 40}{space 1}    1.24{col 49}{space 3}0.217{col 57}{space 4} .7961762{col 70}{space 3}  2.73396
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.184588{col 29}{space 2} .1737011{col 40}{space 1}    1.16{col 49}{space 3}0.248{col 57}{space 4} .8886941{col 70}{space 3} 1.579002
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.417339{col 29}{space 2}  .422737{col 40}{space 1}    1.17{col 49}{space 3}0.242{col 57}{space 4}  .789939{col 70}{space 3} 2.543045
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.721307{col 29}{space 2}  .547397{col 40}{space 1}    1.71{col 49}{space 3}0.088{col 57}{space 4} .9229237{col 70}{space 3}  3.21034
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.851303{col 29}{space 2} .8103975{col 40}{space 1}    1.41{col 49}{space 3}0.159{col 57}{space 4} .7849988{col 70}{space 3} 4.366025
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .5277842{col 29}{space 2} .0677884{col 40}{space 1}   -4.98{col 49}{space 3}0.000{col 57}{space 4} .4103254{col 70}{space 3} .6788664
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.042391{col 29}{space 2} .2482066{col 40}{space 1}    0.17{col 49}{space 3}0.862{col 57}{space 4} .6536551{col 70}{space 3} 1.662312
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.642375{col 29}{space 2} 1.271329{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} 1.029093{col 70}{space 3} 6.784755
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.911724{col 29}{space 2} .7101545{col 40}{space 1}    1.74{col 49}{space 3}0.081{col 57}{space 4} .9230524{col 70}{space 3}  3.95935
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6676259{col 29}{space 2} .1576749{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4} .4202452{col 70}{space 3} 1.060629
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5095343{col 29}{space 2} .1488159{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4} .2874546{col 70}{space 3} .9031867
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5687525{col 29}{space 2} .0619334{col 40}{space 1}   -5.18{col 49}{space 3}0.000{col 57}{space 4} .4594445{col 70}{space 3} .7040664
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9723623{col 29}{space 2} .1184207{col 40}{space 1}   -0.23{col 49}{space 3}0.818{col 57}{space 4} .7658843{col 70}{space 3} 1.234505
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.504874{col 29}{space 2}   .35937{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4} .9423877{col 70}{space 3} 2.403093
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.423284{col 29}{space 2} .3921982{col 40}{space 1}    1.28{col 49}{space 3}0.200{col 57}{space 4} .8293458{col 70}{space 3} 2.442573
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.352184{col 29}{space 2} .4044632{col 40}{space 1}    1.01{col 49}{space 3}0.313{col 57}{space 4} .7523602{col 70}{space 3} 2.430222
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.293906{col 29}{space 2} .4439534{col 40}{space 1}    0.75{col 49}{space 3}0.453{col 57}{space 4} .6604596{col 70}{space 3} 2.534891
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.264895{col 29}{space 2} .4964654{col 40}{space 1}    0.60{col 49}{space 3}0.549{col 57}{space 4} .5860868{col 70}{space 3} 2.729902
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.025665{col 29}{space 2} 1.012295{col 40}{space 1}    0.03{col 49}{space 3}0.980{col 57}{space 4} .1482174{col 70}{space 3}   7.0976
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0647759{col 29}{space 2} .0161201{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4}  .033181{col 70}{space 3} .0963708
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2}  1.06692{col 29}{space 2} .0171989{col 57}{space 4} 1.033738{col 70}{space 3} 1.101167
{txt}            1/p {c |}{col 17}{res}{space 2} .9372775{col 29}{space 2}  .015109{col 57}{space 4} .9081272{col 70}{space 3} .9673634
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5473055      -.7163319
{txt}10%    {res}-.5245913      -.7163319       {txt}Obs         {res}      4,016
{txt}25%    {res}-.4537927      -.7163319       {txt}Sum of wgt. {res}      4,016

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3101909
                        {txt}Largest       Std. dev.     {res} .2505985
{txt}75%    {res}-.1847167       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0627996
{txt}95%    {res} .1718941       .6940686       {txt}Skewness      {res} 1.842304
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.074392
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.4493055
{txt} 5%    {res}-.0833319      -.3632139
{txt}10%    {res} .0834087      -.3632139       {txt}Obs         {res}      3,369
{txt}25%    {res} .2549588      -.3517167       {txt}Sum of wgt. {res}      3,369

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3521655
                        {txt}Largest       Std. dev.     {res}  .205454
{txt}75%    {res} .4938942       .7534087
{txt}90%    {res} .5657861       .7534087       {txt}Variance      {res} .0422114
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.8138056
{txt}99%    {res} .6940686       .8284615       {txt}Kurtosis      {res} 4.026829
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.269076 +  1.sendivide#c.chair_pres1 * 0.2389354) - chair_pres1 * 0.269076, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.269076+1.sendivide#c.chair_pres1*0.2389354)-chair_pres1*0.269076

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.226014{col 26}{space 2} .1338288{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4} .9898744{col 67}{space 3} 1.518485
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC4= r(table)
{txt}
{com}. mat list modelC4
{res}
{txt}modelC4[9,1]
               (1)
     b {res} 1.2260136
{txt}    se {res} .13382882
{txt}     z {res} 1.8667302
{txt}pvalue {res} .06193928
{txt}    ll {res} .98987443
{txt}    ul {res}  1.518485
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. * 
.  
.  
.  
.  
. **** CREATE FIGURE C1 BASED ON MODELS C1-C4 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
.  
. **** FIGURE C1 ****
. 
. matrix A = J(4, 3, .)
{txt}
{com}. matrix coln A = Point ll95 ul95
{txt}
{com}. matrix rown A = 1 2 3 4
{txt}
{com}. 
. matrix A[1,1] = modelC1[1,1]
{txt}
{com}. matrix A[1,2] = modelC1[5,1]
{txt}
{com}. matrix A[1,3] = modelC1[6,1]
{txt}
{com}. 
. matrix A[2,1] = modelC2[1,1]
{txt}
{com}. matrix A[2,2] = modelC2[5,1]
{txt}
{com}. matrix A[2,3] = modelC2[6,1]
{txt}
{com}. 
. matrix A[3,1] = modelC3[1,1]
{txt}
{com}. matrix A[3,2] = modelC3[5,1]
{txt}
{com}. matrix A[3,3] = modelC3[6,1]
{txt}
{com}. 
. matrix A[4,1] = modelC4[1,1]
{txt}
{com}. matrix A[4,2] = modelC4[5,1]
{txt}
{com}. matrix A[4,3] = modelC4[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(A[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C1" 2 "Model C2" 3 "Model C3" 4 "Model C4", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C1", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Major Policy Agency Nominees Only)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. *graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Fall 2024\Statistics\Graphics\Appendix C\FigureC1.gph", replace
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC1.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC1.gph} saved

{com}.  
.  
.  
. 
. 
. ****************************************************************************************************************************************************************************************
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. 
. 
. 
. 
. 
.  
. ***  SUBSAMPLE SENSITIVITY ANALYSES: (2) OMIT FIRST 90 DAYS 'INITIAL WAVE' NOMINEES PER NEW ADMINISTRATION [N = 449, 4.54% of full sample]  ***
. 
.   
.   
.   
.   
.   
. 
. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
. *
. *
. *
. *
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C5: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess  i.kbcom_1  i.presrev   if first90==0,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-55749.289
{txt}Iteration 1:  Log pseudolikelihood = {res}-55141.223
{txt}Iteration 2:  Log pseudolikelihood = {res}-55120.677
{txt}Iteration 3:  Log pseudolikelihood = {res}-55119.983
{txt}Iteration 4:  Log pseudolikelihood = {res}-55119.968
{txt}Iteration 5:  Log pseudolikelihood = {res}-55119.968
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-55119.968

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,430}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,430}
{txt}No. of failures = {res}{ralign 7:6,643}
{txt}Time at risk    = {res}{ralign 7:972,347}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:79529.58}
{txt}Log pseudolikelihood = {res}-55119.968{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2}    .2551{col 29}{space 2}  .140617{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4} .0865982{col 70}{space 3}  .751471
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2414585{col 29}{space 2} .1200779{col 40}{space 1}   -2.86{col 49}{space 3}0.004{col 57}{space 4} .0911041{col 70}{space 3} .6399513
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 7.475974{col 29}{space 2} 4.426181{col 40}{space 1}    3.40{col 49}{space 3}0.001{col 57}{space 4} 2.342666{col 70}{space 3} 23.85751
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.154291{col 29}{space 2} .8096434{col 40}{space 1}    0.20{col 49}{space 3}0.838{col 57}{space 4} .2919209{col 70}{space 3} 4.564209
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9910747{col 29}{space 2} .0107773{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4} .9701751{col 70}{space 3} 1.012424
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9912836{col 29}{space 2} .0043792{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4} .9827376{col 70}{space 3} .9999039
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8906217{col 29}{space 2} .0807496{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4} .7456204{col 70}{space 3} 1.063822
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002778{col 29}{space 2} .0022265{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4} .9984235{col 70}{space 3} 1.007151
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6914446{col 29}{space 2}    .0436{col 40}{space 1}   -5.85{col 49}{space 3}0.000{col 57}{space 4} .6110598{col 70}{space 3} .7824042
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9014854{col 29}{space 2} .0656315{col 40}{space 1}   -1.42{col 49}{space 3}0.154{col 57}{space 4} .7816063{col 70}{space 3} 1.039751
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999829{col 29}{space 2} .0000356{col 40}{space 1}   -0.48{col 49}{space 3}0.632{col 57}{space 4} .9999132{col 70}{space 3} 1.000053
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0525413{col 29}{space 2} .0717622{col 40}{space 1}   -2.16{col 49}{space 3}0.031{col 57}{space 4} .0036133{col 70}{space 3} .7639983
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002425{col 29}{space 2} .0012923{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4} .9998956{col 70}{space 3} 1.004961
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9960587{col 29}{space 2} .0411794{col 40}{space 1}   -0.10{col 49}{space 3}0.924{col 57}{space 4} .9185319{col 70}{space 3} 1.080129
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9973595{col 29}{space 2} .0474746{col 40}{space 1}   -0.06{col 49}{space 3}0.956{col 57}{space 4} .9085196{col 70}{space 3} 1.094887
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .668059{col 29}{space 2} .0630673{col 40}{space 1}   -4.27{col 49}{space 3}0.000{col 57}{space 4} .5552111{col 70}{space 3} .8038436
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} 1.007898{col 29}{space 2} .0579301{col 40}{space 1}    0.14{col 49}{space 3}0.891{col 57}{space 4} .9005184{col 70}{space 3} 1.128081
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .9010665{col 29}{space 2} .1500077{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4} .6502055{col 70}{space 3} 1.248714
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8120397{col 29}{space 2} .1059992{col 40}{space 1}   -1.60{col 49}{space 3}0.111{col 57}{space 4} .6287327{col 70}{space 3}  1.04879
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.000047{col 29}{space 2} .0717182{col 40}{space 1}    0.00{col 49}{space 3}0.999{col 57}{space 4} .8689133{col 70}{space 3}  1.15097
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} 1.019582{col 29}{space 2} .0529459{col 40}{space 1}    0.37{col 49}{space 3}0.709{col 57}{space 4}  .920916{col 70}{space 3} 1.128819
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9234203{col 29}{space 2} .0700216{col 40}{space 1}   -1.05{col 49}{space 3}0.293{col 57}{space 4} .7958918{col 70}{space 3} 1.071383
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.224709{col 29}{space 2} .0839486{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4} 1.070747{col 70}{space 3}  1.40081
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9561692{col 29}{space 2} .0423511{col 40}{space 1}   -1.01{col 49}{space 3}0.312{col 57}{space 4} .8766635{col 70}{space 3} 1.042885
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7506437{col 29}{space 2} .0656025{col 40}{space 1}   -3.28{col 49}{space 3}0.001{col 57}{space 4} .6324747{col 70}{space 3} .8908909
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.086122{col 29}{space 2} .1353739{col 40}{space 1}    0.66{col 49}{space 3}0.507{col 57}{space 4} .8507168{col 70}{space 3} 1.386666
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9047817{col 29}{space 2} .0676672{col 40}{space 1}   -1.34{col 49}{space 3}0.181{col 57}{space 4} .7814186{col 70}{space 3}  1.04762
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.838558{col 29}{space 2} .3959377{col 40}{space 1}    7.48{col 49}{space 3}0.000{col 57}{space 4} 2.159571{col 70}{space 3} 3.731024
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.320386{col 29}{space 2} .2073283{col 40}{space 1}    1.77{col 49}{space 3}0.077{col 57}{space 4} .9706094{col 70}{space 3} 1.796211
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.478169{col 29}{space 2} .1668013{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} 1.184873{col 70}{space 3} 1.844065
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.082664{col 29}{space 2} .0831079{col 40}{space 1}    1.03{col 49}{space 3}0.301{col 57}{space 4} .9314373{col 70}{space 3} 1.258445
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.080548{col 29}{space 2} .2779038{col 40}{space 1}    0.30{col 49}{space 3}0.763{col 57}{space 4}  .652718{col 70}{space 3} 1.788804
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9720256{col 29}{space 2} .1209821{col 40}{space 1}   -0.23{col 49}{space 3}0.820{col 57}{space 4} .7616121{col 70}{space 3} 1.240571
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7706647{col 29}{space 2} .1877472{col 40}{space 1}   -1.07{col 49}{space 3}0.285{col 57}{space 4} .4780773{col 70}{space 3} 1.242318
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.218691{col 29}{space 2} .2937669{col 40}{space 1}    0.82{col 49}{space 3}0.412{col 57}{space 4} .7598194{col 70}{space 3} 1.954685
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.234757{col 29}{space 2} .4151121{col 40}{space 1}    0.63{col 49}{space 3}0.530{col 57}{space 4}  .638876{col 70}{space 3} 2.386417
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6044292{col 29}{space 2} .0662057{col 40}{space 1}   -4.60{col 49}{space 3}0.000{col 57}{space 4} .4876517{col 70}{space 3} .7491714
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.137844{col 29}{space 2} .2793039{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4} .7032992{col 70}{space 3} 1.840878
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.967401{col 29}{space 2} .7573025{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4} .9252179{col 70}{space 3} 4.183521
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.226923{col 29}{space 2} .3671373{col 40}{space 1}    0.68{col 49}{space 3}0.494{col 57}{space 4} .6825094{col 70}{space 3} 2.205596
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5676653{col 29}{space 2} .0739919{col 40}{space 1}   -4.34{col 49}{space 3}0.000{col 57}{space 4} .4396865{col 70}{space 3} .7328947
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7633207{col 29}{space 2} .1882775{col 40}{space 1}   -1.09{col 49}{space 3}0.274{col 57}{space 4} .4707098{col 70}{space 3}  1.23783
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5029681{col 29}{space 2} .0560018{col 40}{space 1}   -6.17{col 49}{space 3}0.000{col 57}{space 4} .4043574{col 70}{space 3} .6256271
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8539402{col 29}{space 2} .0851695{col 40}{space 1}   -1.58{col 49}{space 3}0.113{col 57}{space 4} .7023137{col 70}{space 3} 1.038302
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.741002{col 29}{space 2}  .402604{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} 1.106522{col 70}{space 3} 2.739292
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.620111{col 29}{space 2} .4895237{col 40}{space 1}    1.60{col 49}{space 3}0.110{col 57}{space 4} .8960873{col 70}{space 3} 2.929133
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.486531{col 29}{space 2} .3871836{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4} .8922136{col 70}{space 3} 2.476731
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .9840229{col 29}{space 2} .3604414{col 40}{space 1}   -0.04{col 49}{space 3}0.965{col 57}{space 4} .4799714{col 70}{space 3} 2.017414
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .8370364{col 29}{space 2} .3963729{col 40}{space 1}   -0.38{col 49}{space 3}0.707{col 57}{space 4} .3308748{col 70}{space 3} 2.117508
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      4,821
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      4,821

{txt}50%    {res}-.2503832                      {txt}Mean          {res}-.1862732
                        {txt}Largest       Std. dev.     {res} .2284594
{txt}75%    {res}-.0624062        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0521937
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .6894076
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.632379
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,609
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      4,609

{txt}50%    {res} .2273195                      {txt}Mean          {res} .2081675
                        {txt}Largest       Std. dev.     {res} .1799475
{txt}75%    {res} .3387852        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0323811
{txt}95%    {res} .4706168        .490939       {txt}Skewness      {res}-.4114095
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.678954
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.303+1.sendivide#c.committee_pres1*0.2483547)-committee_pres1*0.303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.648085{col 26}{space 2} .2423334{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} 1.235433{col 67}{space 3} 2.198567
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC5 = r(table)
{txt}
{com}. mat list modelC5
{res}
{txt}modelC5[9,1]
               (1)
     b {res} 1.6480846
{txt}    se {res}  .2423334
{txt}     z {res}  3.397822
{txt}pvalue {res} .00067925
{txt}    ll {res} 1.2354334
{txt}    ul {res} 2.1985669
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C6: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload    female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if first90==0, vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-55749.289
{txt}Iteration 1:  Log pseudolikelihood = {res}-55132.079
{txt}Iteration 2:  Log pseudolikelihood = {res}-55111.366
{txt}Iteration 3:  Log pseudolikelihood = {res}-55110.674
{txt}Iteration 4:  Log pseudolikelihood = {res}-55110.659
{txt}Iteration 5:  Log pseudolikelihood = {res}-55110.659
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-55110.659

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,430}{col 56}{txt}{lalign 13:Number of obs} = {res}{ralign 7:9,430}
{txt}No. of failures = {res}{ralign 7:6,643}
{txt}Time at risk    = {res}{ralign 7:972,347}
{col 56}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 7:9625.50}
{txt}Log pseudolikelihood = {res}-55110.659{col 56}{txt}{lalign 13:Prob > chi2} = {res}{ralign 7:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .5712931{col 29}{space 2} .0721376{col 40}{space 1}   -4.43{col 49}{space 3}0.000{col 57}{space 4} .4460435{col 70}{space 3}  .731713
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3410938{col 29}{space 2} .0786132{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4} .2171172{col 70}{space 3} .5358626
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 3.460108{col 29}{space 2}  .785943{col 40}{space 1}    5.46{col 49}{space 3}0.000{col 57}{space 4} 2.216891{col 70}{space 3} 5.400513
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2} 1.004164{col 29}{space 2} .0025008{col 40}{space 1}    1.67{col 49}{space 3}0.095{col 57}{space 4} .9992741{col 70}{space 3} 1.009077
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9914974{col 29}{space 2} .0045532{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4} .9826133{col 70}{space 3} 1.000462
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8805228{col 29}{space 2} .0785787{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4} .7392282{col 70}{space 3} 1.048824
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002418{col 29}{space 2} .0018312{col 40}{space 1}    1.32{col 49}{space 3}0.186{col 57}{space 4} .9988358{col 70}{space 3} 1.006014
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}  .670218{col 29}{space 2} .0443308{col 40}{space 1}   -6.05{col 49}{space 3}0.000{col 57}{space 4} .5887276{col 70}{space 3} .7629882
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8578286{col 29}{space 2} .0637008{col 40}{space 1}   -2.07{col 49}{space 3}0.039{col 57}{space 4} .7416377{col 70}{space 3} .9922228
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999814{col 29}{space 2} .0000332{col 40}{space 1}   -0.56{col 49}{space 3}0.576{col 57}{space 4} .9999163{col 70}{space 3} 1.000047
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0517184{col 29}{space 2} .0632797{col 40}{space 1}   -2.42{col 49}{space 3}0.015{col 57}{space 4} .0047007{col 70}{space 3} .5690184
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002075{col 29}{space 2} .0012796{col 40}{space 1}    1.62{col 49}{space 3}0.104{col 57}{space 4} .9995705{col 70}{space 3} 1.004586
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.004989{col 29}{space 2} .0441421{col 40}{space 1}    0.11{col 49}{space 3}0.910{col 57}{space 4} .9220911{col 70}{space 3} 1.095339
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9885722{col 29}{space 2} .0460447{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4} .9023229{col 70}{space 3} 1.083066
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6725688{col 29}{space 2} .0669725{col 40}{space 1}   -3.98{col 49}{space 3}0.000{col 57}{space 4}   .55332{col 70}{space 3} .8175173
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9769783{col 29}{space 2} .0599829{col 40}{space 1}   -0.38{col 49}{space 3}0.704{col 57}{space 4} .8662121{col 70}{space 3} 1.101909
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8247073{col 29}{space 2} .1515797{col 40}{space 1}   -1.05{col 49}{space 3}0.294{col 57}{space 4}  .575242{col 70}{space 3} 1.182358
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8239372{col 29}{space 2}  .104796{col 40}{space 1}   -1.52{col 49}{space 3}0.128{col 57}{space 4}  .642141{col 70}{space 3} 1.057202
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9617148{col 29}{space 2} .0755287{col 40}{space 1}   -0.50{col 49}{space 3}0.619{col 57}{space 4} .8245116{col 70}{space 3} 1.121749
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9410288{col 29}{space 2} .0513637{col 40}{space 1}   -1.11{col 49}{space 3}0.265{col 57}{space 4} .8455556{col 70}{space 3} 1.047282
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8870332{col 29}{space 2} .0669476{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} .7650619{col 70}{space 3}  1.02845
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.197213{col 29}{space 2} .0802835{col 40}{space 1}    2.68{col 49}{space 3}0.007{col 57}{space 4} 1.049763{col 70}{space 3} 1.365375
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9528715{col 29}{space 2} .0412114{col 40}{space 1}   -1.12{col 49}{space 3}0.264{col 57}{space 4} .8754274{col 70}{space 3} 1.037167
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7547841{col 29}{space 2} .0616319{col 40}{space 1}   -3.45{col 49}{space 3}0.001{col 57}{space 4} .6431583{col 70}{space 3} .8857835
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.271307{col 29}{space 2} .0841291{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} 1.116662{col 70}{space 3} 1.447368
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.063214{col 29}{space 2} .0997724{col 40}{space 1}    0.65{col 49}{space 3}0.514{col 57}{space 4} .8845928{col 70}{space 3} 1.277902
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9843723{col 29}{space 2} .0624584{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}  .869262{col 70}{space 3} 1.114726
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.844988{col 29}{space 2}  .411726{col 40}{space 1}    7.22{col 49}{space 3}0.000{col 57}{space 4} 2.142372{col 70}{space 3} 3.778036
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  1.35139{col 29}{space 2} .2057158{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} 1.002781{col 70}{space 3} 1.821189
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.678392{col 29}{space 2} .1913162{col 40}{space 1}    4.54{col 49}{space 3}0.000{col 57}{space 4} 1.342353{col 70}{space 3} 2.098553
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.217342{col 29}{space 2} .1044743{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} 1.028871{col 70}{space 3} 1.440337
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.110386{col 29}{space 2} .2918422{col 40}{space 1}    0.40{col 49}{space 3}0.690{col 57}{space 4} .6633661{col 70}{space 3} 1.858639
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9920597{col 29}{space 2} .1161496{col 40}{space 1}   -0.07{col 49}{space 3}0.946{col 57}{space 4} .7886417{col 70}{space 3} 1.247946
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8606272{col 29}{space 2} .2224454{col 40}{space 1}   -0.58{col 49}{space 3}0.561{col 57}{space 4} .5185682{col 70}{space 3} 1.428316
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.337164{col 29}{space 2} .3563665{col 40}{space 1}    1.09{col 49}{space 3}0.276{col 57}{space 4} .7931064{col 70}{space 3} 2.254435
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.392408{col 29}{space 2} .4723925{col 40}{space 1}    0.98{col 49}{space 3}0.329{col 57}{space 4} .7161191{col 70}{space 3}  2.70737
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7883432{col 29}{space 2} .0796577{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4} .6467048{col 70}{space 3} .9610025
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.122069{col 29}{space 2} .2579327{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4} .7150753{col 70}{space 3} 1.760708
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.849321{col 29}{space 2} .7306039{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4} .8525727{col 70}{space 3} 4.011374
{txt}{space 12}16  {c |}{col 17}{res}{space 2}   1.3729{col 29}{space 2} .4293568{col 40}{space 1}    1.01{col 49}{space 3}0.311{col 57}{space 4} .7437662{col 70}{space 3} 2.534202
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6444503{col 29}{space 2}  .098654{col 40}{space 1}   -2.87{col 49}{space 3}0.004{col 57}{space 4} .4774033{col 70}{space 3} .8699484
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7267542{col 29}{space 2} .1744066{col 40}{space 1}   -1.33{col 49}{space 3}0.184{col 57}{space 4}  .454063{col 70}{space 3} 1.163212
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5154521{col 29}{space 2} .0563756{col 40}{space 1}   -6.06{col 49}{space 3}0.000{col 57}{space 4} .4159982{col 70}{space 3} .6386827
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9065504{col 29}{space 2} .0952572{col 40}{space 1}   -0.93{col 49}{space 3}0.350{col 57}{space 4} .7378203{col 70}{space 3} 1.113867
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.619111{col 29}{space 2} .3537613{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} 1.055108{col 70}{space 3} 2.484601
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.559915{col 29}{space 2} .4501574{col 40}{space 1}    1.54{col 49}{space 3}0.123{col 57}{space 4} .8860594{col 70}{space 3} 2.746244
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.336419{col 29}{space 2} .4085553{col 40}{space 1}    0.95{col 49}{space 3}0.343{col 57}{space 4} .7340454{col 70}{space 3} 2.433115
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.125666{col 29}{space 2} .3969821{col 40}{space 1}    0.34{col 49}{space 3}0.737{col 57}{space 4} .5639245{col 70}{space 3} 2.246973
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.105352{col 29}{space 2} .4395811{col 40}{space 1}    0.25{col 49}{space 3}0.801{col 57}{space 4} .5069807{col 70}{space 3} 2.409961
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5251514      -.7163319       {txt}Obs         {res}      4,821
{txt}25%    {res}-.4552139      -.7163319       {txt}Sum of wgt. {res}      4,821

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3172826
                        {txt}Largest       Std. dev.     {res} .2367216
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0487915       .6940686       {txt}Variance      {res} .0560371
{txt}95%    {res} .1377861       .6940686       {txt}Skewness      {res} 1.799059
{txt}99%    {res} .5914087       .6940686       {txt}Kurtosis      {res} 7.672305
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      4,609
{txt}25%    {res} .2525625      -.3632139       {txt}Sum of wgt. {res}      4,609

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3495055
                        {txt}Largest       Std. dev.     {res} .2168644
{txt}75%    {res} .4938942       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0470302
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6885328
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.620275
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2413317) - chair_pres1 * 0.2724212, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.2724212+1.sendivide#c.chair_pres1*0.2413317)-chair_pres1*0.2724212

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.349272{col 26}{space 2} .0739631{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} 1.211823{col 67}{space 3} 1.502311
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC6= r(table)
{txt}
{com}. mat list modelC6
{res}
{txt}modelC6[9,1]
               (1)
     b {res} 1.3492717
{txt}    se {res} .07396311
{txt}     z {res} 5.4648126
{txt}pvalue {res} 4.634e-08
{txt}    ll {res} 1.2118226
{txt}    ul {res} 1.5023108
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. *
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C7: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1  i.presrev  if first90==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res} -13178.38
{txt}Iteration 1:  Log pseudolikelihood = {res}-13169.952
{txt}Iteration 2:  Log pseudolikelihood = {res}-13169.951

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-13169.951}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12511.738}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12438.969}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12438.307}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12438.305}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12438.305}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,430}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,430}
{txt}No. of failures = {res}{ralign 7:6,643}
{txt}Time at risk    = {res}{ralign 7:972,347}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12438.305{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .2318572{col 29}{space 2} .1711268{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4} .0545726{col 70}{space 3} .9850688
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2032915{col 29}{space 2}  .121066{col 40}{space 1}   -2.68{col 49}{space 3}0.007{col 57}{space 4} .0632709{col 70}{space 3} .6531825
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 10.09863{col 29}{space 2} 7.014108{col 40}{space 1}    3.33{col 49}{space 3}0.001{col 57}{space 4} 2.588518{col 70}{space 3} 39.39792
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .8562292{col 29}{space 2} .7777986{col 40}{space 1}   -0.17{col 49}{space 3}0.864{col 57}{space 4} .1443307{col 70}{space 3} 5.079506
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9981293{col 29}{space 2} .0137196{col 40}{space 1}   -0.14{col 49}{space 3}0.892{col 57}{space 4} .9715984{col 70}{space 3} 1.025385
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9917009{col 29}{space 2} .0049507{col 40}{space 1}   -1.67{col 49}{space 3}0.095{col 57}{space 4} .9820449{col 70}{space 3} 1.001452
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8622282{col 29}{space 2} .0932508{col 40}{space 1}   -1.37{col 49}{space 3}0.170{col 57}{space 4} .6975318{col 70}{space 3} 1.065812
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.004221{col 29}{space 2} .0028025{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4} .9987432{col 70}{space 3} 1.009729
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8046592{col 29}{space 2} .0539573{col 40}{space 1}   -3.24{col 49}{space 3}0.001{col 57}{space 4} .7055597{col 70}{space 3} .9176778
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9196977{col 29}{space 2} .0731606{col 40}{space 1}   -1.05{col 49}{space 3}0.293{col 57}{space 4} .7869248{col 70}{space 3} 1.074872
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  .999949{col 29}{space 2} .0000406{col 40}{space 1}   -1.26{col 49}{space 3}0.209{col 57}{space 4} .9998695{col 70}{space 3} 1.000029
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0369405{col 29}{space 2} .0588689{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4} .0016256{col 70}{space 3} .8394381
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002978{col 29}{space 2} .0014522{col 40}{space 1}    2.05{col 49}{space 3}0.040{col 57}{space 4} 1.000136{col 70}{space 3} 1.005828
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9951915{col 29}{space 2} .0442677{col 40}{space 1}   -0.11{col 49}{space 3}0.914{col 57}{space 4} .9121031{col 70}{space 3} 1.085849
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9803617{col 29}{space 2} .0520707{col 40}{space 1}   -0.37{col 49}{space 3}0.709{col 57}{space 4} .8834375{col 70}{space 3}  1.08792
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6182151{col 29}{space 2}  .056757{col 40}{space 1}   -5.24{col 49}{space 3}0.000{col 57}{space 4} .5164075{col 70}{space 3} .7400936
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9892515{col 29}{space 2} .0708346{col 40}{space 1}   -0.15{col 49}{space 3}0.880{col 57}{space 4} .8597202{col 70}{space 3} 1.138299
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8269951{col 29}{space 2}  .162372{col 40}{space 1}   -0.97{col 49}{space 3}0.333{col 57}{space 4} .5628313{col 70}{space 3} 1.215144
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7625077{col 29}{space 2} .1074064{col 40}{space 1}   -1.92{col 49}{space 3}0.054{col 57}{space 4} .5785547{col 70}{space 3} 1.004949
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9800388{col 29}{space 2}  .080808{col 40}{space 1}   -0.24{col 49}{space 3}0.807{col 57}{space 4} .8337933{col 70}{space 3} 1.151935
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} 1.005209{col 29}{space 2}   .06538{col 40}{space 1}    0.08{col 49}{space 3}0.936{col 57}{space 4} .8848976{col 70}{space 3} 1.141877
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9126047{col 29}{space 2} .0947754{col 40}{space 1}   -0.88{col 49}{space 3}0.379{col 57}{space 4} .7445333{col 70}{space 3} 1.118617
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.242404{col 29}{space 2} .0919629{col 40}{space 1}    2.93{col 49}{space 3}0.003{col 57}{space 4} 1.074625{col 70}{space 3} 1.436379
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.015984{col 29}{space 2} .0560066{col 40}{space 1}    0.29{col 49}{space 3}0.774{col 57}{space 4} .9119356{col 70}{space 3} 1.131905
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8011883{col 29}{space 2} .0790583{col 40}{space 1}   -2.25{col 49}{space 3}0.025{col 57}{space 4} .6602998{col 70}{space 3} .9721382
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.07577{col 29}{space 2} .1644077{col 40}{space 1}    0.48{col 49}{space 3}0.633{col 57}{space 4} .7973194{col 70}{space 3} 1.451466
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9021937{col 29}{space 2} .0840552{col 40}{space 1}   -1.10{col 49}{space 3}0.269{col 57}{space 4} .7516148{col 70}{space 3} 1.082939
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.315841{col 29}{space 2} .3437724{col 40}{space 1}    5.66{col 49}{space 3}0.000{col 57}{space 4} 1.731223{col 70}{space 3} 3.097879
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.335509{col 29}{space 2} .2569108{col 40}{space 1}    1.50{col 49}{space 3}0.133{col 57}{space 4} .9160138{col 70}{space 3} 1.947116
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.553079{col 29}{space 2}  .232909{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} 1.157556{col 70}{space 3} 2.083746
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.114996{col 29}{space 2} .1116863{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4} .9162428{col 70}{space 3} 1.356863
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.061548{col 29}{space 2} .3362189{col 40}{space 1}    0.19{col 49}{space 3}0.850{col 57}{space 4} .5706148{col 70}{space 3} 1.974861
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9299931{col 29}{space 2} .1503306{col 40}{space 1}   -0.45{col 49}{space 3}0.653{col 57}{space 4} .6774629{col 70}{space 3} 1.276656
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6923402{col 29}{space 2} .1964038{col 40}{space 1}   -1.30{col 49}{space 3}0.195{col 57}{space 4} .3970542{col 70}{space 3} 1.207228
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.161796{col 29}{space 2} .3111818{col 40}{space 1}    0.56{col 49}{space 3}0.576{col 57}{space 4} .6872893{col 70}{space 3} 1.963905
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.215999{col 29}{space 2}   .49423{col 40}{space 1}    0.48{col 49}{space 3}0.630{col 57}{space 4} .5482411{col 70}{space 3} 2.697088
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .5939349{col 29}{space 2} .0761452{col 40}{space 1}   -4.06{col 49}{space 3}0.000{col 57}{space 4} .4619668{col 70}{space 3} .7636016
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.074043{col 29}{space 2} .2927642{col 40}{space 1}    0.26{col 49}{space 3}0.793{col 57}{space 4} .6295065{col 70}{space 3} 1.832498
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.911098{col 29}{space 2} .8846041{col 40}{space 1}    1.40{col 49}{space 3}0.162{col 57}{space 4} .7714022{col 70}{space 3} 4.734618
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.235692{col 29}{space 2} .4513457{col 40}{space 1}    0.58{col 49}{space 3}0.562{col 57}{space 4} .6039525{col 70}{space 3} 2.528238
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .4988989{col 29}{space 2} .0880118{col 40}{space 1}   -3.94{col 49}{space 3}0.000{col 57}{space 4} .3530616{col 70}{space 3} .7049767
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5690682{col 29}{space 2} .1657355{col 40}{space 1}   -1.94{col 49}{space 3}0.053{col 57}{space 4} .3215587{col 70}{space 3}  1.00709
{txt}{space 12}19  {c |}{col 17}{res}{space 2}  .542654{col 29}{space 2} .0722249{col 40}{space 1}   -4.59{col 49}{space 3}0.000{col 57}{space 4} .4180534{col 70}{space 3} .7043917
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9037763{col 29}{space 2} .1214688{col 40}{space 1}   -0.75{col 49}{space 3}0.452{col 57}{space 4} .6944776{col 70}{space 3} 1.176152
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.94552{col 29}{space 2} .4807206{col 40}{space 1}    2.69{col 49}{space 3}0.007{col 57}{space 4} 1.198703{col 70}{space 3} 3.157621
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.636504{col 29}{space 2} .5420489{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4} .8550255{col 70}{space 3} 3.132241
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.613521{col 29}{space 2} .4503598{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4} .9336633{col 70}{space 3} 2.788423
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.071905{col 29}{space 2} .4489999{col 40}{space 1}    0.17{col 49}{space 3}0.868{col 57}{space 4} .4716333{col 70}{space 3} 2.436171
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .8914141{col 29}{space 2} .4816119{col 40}{space 1}   -0.21{col 49}{space 3}0.832{col 57}{space 4} .3091673{col 70}{space 3} 2.570191
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .4097258{col 29}{space 2} .3002391{col 40}{space 1}   -1.22{col 49}{space 3}0.223{col 57}{space 4} .0974427{col 70}{space 3} 1.722809
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0452212{col 29}{space 2} .0183765{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4}  .009204{col 70}{space 3} .0812385
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.046259{col 29}{space 2} .0192266{col 57}{space 4} 1.009246{col 70}{space 3}  1.08463
{txt}            1/p {c |}{col 17}{res}{space 2}  .955786{col 29}{space 2}  .017564{col 57}{space 4} .9219738{col 70}{space 3} .9908382
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      4,821
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      4,821

{txt}50%    {res}-.2503832                      {txt}Mean          {res}-.1862732
                        {txt}Largest       Std. dev.     {res} .2284594
{txt}75%    {res}-.0624062        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0521937
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .6894076
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.632379
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,609
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      4,609

{txt}50%    {res} .2273195                      {txt}Mean          {res} .2081675
                        {txt}Largest       Std. dev.     {res} .1799475
{txt}75%    {res} .3387852        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0323811
{txt}95%    {res} .4706168        .490939       {txt}Skewness      {res}-.4114095
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.678954
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.303+1.sendivide#c.committee_pres1*0.2483547)-committee_pres1*0.303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.775879{col 26}{space 2} .3063344{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} 1.266436{col 67}{space 3} 2.490252
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC7 = r(table)
{txt}
{com}. mat list modelC7
{res}
{txt}modelC7[9,1]
               (1)
     b {res} 1.7758786
{txt}    se {res}  .3063344
{txt}     z {res} 3.3292984
{txt}pvalue {res} .00087065
{txt}    ll {res} 1.2664359
{txt}    ul {res}  2.490252
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C8: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload    female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev  if first90==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res} -13178.38
{txt}Iteration 1:  Log pseudolikelihood = {res}-13169.952
{txt}Iteration 2:  Log pseudolikelihood = {res}-13169.951

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-13169.951}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12500.627}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12428.703}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12428.048}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12428.046}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12428.046}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,430}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,430}
{txt}No. of failures = {res}{ralign 7:6,643}
{txt}Time at risk    = {res}{ralign 7:972,347}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12428.046{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .5404825{col 29}{space 2} .0901995{col 40}{space 1}   -3.69{col 49}{space 3}0.000{col 57}{space 4} .3896971{col 70}{space 3} .7496112
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2832041{col 29}{space 2} .0769875{col 40}{space 1}   -4.64{col 49}{space 3}0.000{col 57}{space 4} .1662284{col 70}{space 3} .4824964
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 4.179721{col 29}{space 2} 1.243959{col 40}{space 1}    4.81{col 49}{space 3}0.000{col 57}{space 4} 2.332462{col 70}{space 3} 7.489967
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2}  1.00559{col 29}{space 2} .0024247{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} 1.000849{col 70}{space 3} 1.010354
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9922427{col 29}{space 2} .0051415{col 40}{space 1}   -1.50{col 49}{space 3}0.133{col 57}{space 4} .9822165{col 70}{space 3} 1.002371
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8532731{col 29}{space 2} .0934484{col 40}{space 1}   -1.45{col 49}{space 3}0.147{col 57}{space 4} .6884406{col 70}{space 3} 1.057571
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002864{col 29}{space 2} .0022985{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4} .9983689{col 70}{space 3} 1.007379
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7736213{col 29}{space 2} .0547315{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4} .6734547{col 70}{space 3} .8886864
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8568562{col 29}{space 2} .0767203{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4} .7189421{col 70}{space 3} 1.021226
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999398{col 29}{space 2} .0000356{col 40}{space 1}   -1.69{col 49}{space 3}0.091{col 57}{space 4} .9998701{col 70}{space 3}  1.00001
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0385851{col 29}{space 2} .0552393{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4} .0023325{col 70}{space 3}  .638292
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002453{col 29}{space 2} .0014735{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4} .9995694{col 70}{space 3} 1.005345
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.007516{col 29}{space 2} .0471011{col 40}{space 1}    0.16{col 49}{space 3}0.873{col 57}{space 4} .9193024{col 70}{space 3} 1.104194
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9700589{col 29}{space 2} .0531271{col 40}{space 1}   -0.56{col 49}{space 3}0.579{col 57}{space 4} .8713255{col 70}{space 3}  1.07998
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6225105{col 29}{space 2} .0622862{col 40}{space 1}   -4.74{col 49}{space 3}0.000{col 57}{space 4} .5116564{col 70}{space 3} .7573819
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9547456{col 29}{space 2} .0749783{col 40}{space 1}   -0.59{col 49}{space 3}0.555{col 57}{space 4}  .818542{col 70}{space 3} 1.113613
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7428835{col 29}{space 2} .1605027{col 40}{space 1}   -1.38{col 49}{space 3}0.169{col 57}{space 4} .4864245{col 70}{space 3} 1.134556
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7779465{col 29}{space 2} .1059919{col 40}{space 1}   -1.84{col 49}{space 3}0.065{col 57}{space 4} .5956308{col 70}{space 3} 1.016067
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9314609{col 29}{space 2} .0847727{col 40}{space 1}   -0.78{col 49}{space 3}0.435{col 57}{space 4} .7792852{col 70}{space 3} 1.113353
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9229596{col 29}{space 2} .0680143{col 40}{space 1}   -1.09{col 49}{space 3}0.277{col 57}{space 4} .7988337{col 70}{space 3} 1.066373
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8713307{col 29}{space 2} .0947053{col 40}{space 1}   -1.27{col 49}{space 3}0.205{col 57}{space 4} .7041505{col 70}{space 3} 1.078203
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.202013{col 29}{space 2} .0870586{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} 1.042939{col 70}{space 3}  1.38535
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.011315{col 29}{space 2} .0544877{col 40}{space 1}    0.21{col 49}{space 3}0.835{col 57}{space 4} .9099664{col 70}{space 3} 1.123951
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8054737{col 29}{space 2} .0755714{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4} .6701772{col 70}{space 3}  .968084
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.328831{col 29}{space 2} .1079513{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} 1.133235{col 70}{space 3} 1.558187
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.024732{col 29}{space 2} .1246985{col 40}{space 1}    0.20{col 49}{space 3}0.841{col 57}{space 4} .8072884{col 70}{space 3} 1.300745
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9536116{col 29}{space 2} .0737186{col 40}{space 1}   -0.61{col 49}{space 3}0.539{col 57}{space 4} .8195392{col 70}{space 3} 1.109617
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  2.33833{col 29}{space 2} .3687048{col 40}{space 1}    5.39{col 49}{space 3}0.000{col 57}{space 4}  1.71668{col 70}{space 3} 3.185093
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.339962{col 29}{space 2}  .262204{col 40}{space 1}    1.50{col 49}{space 3}0.135{col 57}{space 4} .9131225{col 70}{space 3} 1.966327
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.762936{col 29}{space 2} .2687667{col 40}{space 1}    3.72{col 49}{space 3}0.000{col 57}{space 4} 1.307578{col 70}{space 3} 2.376872
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.259998{col 29}{space 2} .1339634{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} 1.022986{col 70}{space 3} 1.551922
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.073434{col 29}{space 2} .3591342{col 40}{space 1}    0.21{col 49}{space 3}0.832{col 57}{space 4} .5571763{col 70}{space 3} 2.068037
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9263837{col 29}{space 2} .1416995{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4} .6864221{col 70}{space 3} 1.250232
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7645474{col 29}{space 2} .2285607{col 40}{space 1}   -0.90{col 49}{space 3}0.369{col 57}{space 4} .4255382{col 70}{space 3} 1.373632
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.259892{col 29}{space 2} .3990569{col 40}{space 1}    0.73{col 49}{space 3}0.466{col 57}{space 4} .6772123{col 70}{space 3} 2.343916
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.361314{col 29}{space 2}  .552421{col 40}{space 1}    0.76{col 49}{space 3}0.447{col 57}{space 4} .6145269{col 70}{space 3} 3.015614
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8084554{col 29}{space 2} .1045942{col 40}{space 1}   -1.64{col 49}{space 3}0.100{col 57}{space 4} .6273813{col 70}{space 3} 1.041791
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.053455{col 29}{space 2} .2892428{col 40}{space 1}    0.19{col 49}{space 3}0.850{col 57}{space 4} .6150426{col 70}{space 3} 1.804375
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.752079{col 29}{space 2} .8498762{col 40}{space 1}    1.16{col 49}{space 3}0.248{col 57}{space 4} .6771169{col 70}{space 3} 4.533605
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.333193{col 29}{space 2} .5150309{col 40}{space 1}    0.74{col 49}{space 3}0.457{col 57}{space 4} .6252618{col 70}{space 3} 2.842653
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5844643{col 29}{space 2} .1188477{col 40}{space 1}   -2.64{col 49}{space 3}0.008{col 57}{space 4} .3923473{col 70}{space 3} .8706535
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5285509{col 29}{space 2}  .158059{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .2941316{col 70}{space 3} .9497996
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5559837{col 29}{space 2} .0777637{col 40}{space 1}   -4.20{col 49}{space 3}0.000{col 57}{space 4} .4226755{col 70}{space 3}  .731336
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9781234{col 29}{space 2} .1396813{col 40}{space 1}   -0.15{col 49}{space 3}0.877{col 57}{space 4} .7393286{col 70}{space 3} 1.294046
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.778612{col 29}{space 2} .4109051{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} 1.130919{col 70}{space 3} 2.797246
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.610776{col 29}{space 2} .5061324{col 40}{space 1}    1.52{col 49}{space 3}0.129{col 57}{space 4} .8701085{col 70}{space 3} 2.981925
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.374242{col 29}{space 2} .4514284{col 40}{space 1}    0.97{col 49}{space 3}0.333{col 57}{space 4} .7218549{col 70}{space 3} 2.616235
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.271579{col 29}{space 2} .5189071{col 40}{space 1}    0.59{col 49}{space 3}0.556{col 57}{space 4} .5714579{col 70}{space 3} 2.829453
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.197174{col 29}{space 2} .5340243{col 40}{space 1}    0.40{col 49}{space 3}0.687{col 57}{space 4} .4994143{col 70}{space 3} 2.869811
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .2092752{col 29}{space 2} .1549499{col 40}{space 1}   -2.11{col 49}{space 3}0.035{col 57}{space 4} .0490318{col 70}{space 3} .8932188
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0451565{col 29}{space 2} .0167854{col 40}{space 1}    2.69{col 49}{space 3}0.007{col 57}{space 4} .0122577{col 70}{space 3} .0780554
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.046192{col 29}{space 2} .0175608{col 57}{space 4} 1.012333{col 70}{space 3} 1.081183
{txt}            1/p {c |}{col 17}{res}{space 2} .9558478{col 29}{space 2} .0160443{col 57}{space 4} .9249132{col 70}{space 3} .9878171
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5251514      -.7163319       {txt}Obs         {res}      4,821
{txt}25%    {res}-.4552139      -.7163319       {txt}Sum of wgt. {res}      4,821

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3172826
                        {txt}Largest       Std. dev.     {res} .2367216
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0487915       .6940686       {txt}Variance      {res} .0560371
{txt}95%    {res} .1377861       .6940686       {txt}Skewness      {res} 1.799059
{txt}99%    {res} .5914087       .6940686       {txt}Kurtosis      {res} 7.672305
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      4,609
{txt}25%    {res} .2525625      -.3632139       {txt}Sum of wgt. {res}      4,609

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3495055
                        {txt}Largest       Std. dev.     {res} .2168644
{txt}75%    {res} .4938942       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0470302
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6885328
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.620275
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2413317) - chair_pres1 * 0.2724212, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.2724212+1.sendivide#c.chair_pres1*0.2413317)-chair_pres1*0.2724212

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.412221{col 26}{space 2} .1014322{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} 1.226776{col 67}{space 3} 1.625697
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC8= r(table)
{txt}
{com}. mat list modelC8
{res}
{txt}modelC8[9,1]
               (1)
     b {res} 1.4122205
{txt}    se {res} .10143216
{txt}     z {res} 4.8056429
{txt}pvalue {res} 1.543e-06
{txt}    ll {res} 1.2267762
{txt}    ul {res} 1.6256974
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. * 
.  
.  
.  
.  
. **** CREATE FIGURE C2 BASED ON MODELS C5-C8 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
. 
. **** FIGURE C2 ****
. 
. matrix C = J(4, 3, .)
{txt}
{com}. matrix coln C = Point ll95 ul95
{txt}
{com}. matrix rown C = 1 2 3 4
{txt}
{com}. 
. matrix C[1,1] = modelC5[1,1]
{txt}
{com}. matrix C[1,2] = modelC5[5,1]
{txt}
{com}. matrix C[1,3] = modelC5[6,1]
{txt}
{com}. 
. matrix C[2,1] = modelC6[1,1]
{txt}
{com}. matrix C[2,2] = modelC6[5,1]
{txt}
{com}. matrix C[2,3] = modelC6[6,1]
{txt}
{com}. 
. matrix C[3,1] = modelC7[1,1]
{txt}
{com}. matrix C[3,2] = modelC7[5,1]
{txt}
{com}. matrix C[3,3] = modelC7[6,1]
{txt}
{com}. 
. matrix C[4,1] = modelC8[1,1]
{txt}
{com}. matrix C[4,2] = modelC8[5,1]
{txt}
{com}. matrix C[4,3] = modelC8[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(C[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C5" 2 "Model C6" 3 "Model C7" 4 "Model C8", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C2", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(First 90 Days Nominees Omitted)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. *graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC2.gph", replace
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC2.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC2.gph} saved

{com}.  
.  
.  
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. 
.  
. ***  SUBSAMPLE SENSITIVITY ANALYSES: (3) OMIT RULE 31 NOMINATIONS THAT ARE RENOMINATED IN SAME CONGRESS [N = 563, 5.70% of full sample]  ***   
. 
.   
.   
.   
.   
. 
. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
. *
. *
. *
. *
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C9: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev   if samecongnew==0,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-57124.645
{txt}Iteration 1:  Log pseudolikelihood = {res}-56923.248
{txt}Iteration 2:  Log pseudolikelihood = {res}-56298.538
{txt}Iteration 3:  Log pseudolikelihood = {res}-56244.896
{txt}Iteration 4:  Log pseudolikelihood = {res}-56243.635
{txt}Iteration 5:  Log pseudolikelihood = {res}-56243.634
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-56243.634

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,316}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,316}
{txt}No. of failures = {res}{ralign 7:6,821}
{txt}Time at risk    = {res}{ralign 7:927,822}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:28477.16}
{txt}Log pseudolikelihood = {res}-56243.634{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3304072{col 29}{space 2} .1698699{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4} .1206222{col 70}{space 3} .9050481
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2696666{col 29}{space 2} .1223147{col 40}{space 1}   -2.89{col 49}{space 3}0.004{col 57}{space 4} .1108514{col 70}{space 3}  .656014
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 5.168324{col 29}{space 2} 2.745997{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} 1.824296{col 70}{space 3} 14.64213
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.634104{col 29}{space 2}  1.05591{col 40}{space 1}    0.76{col 49}{space 3}0.447{col 57}{space 4} .4605302{col 70}{space 3} 5.798306
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9923555{col 29}{space 2} .0114738{col 40}{space 1}   -0.66{col 49}{space 3}0.507{col 57}{space 4} .9701201{col 70}{space 3} 1.015101
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9932042{col 29}{space 2} .0044456{col 40}{space 1}   -1.52{col 49}{space 3}0.128{col 57}{space 4} .9845291{col 70}{space 3} 1.001956
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9370396{col 29}{space 2}  .088968{col 40}{space 1}   -0.68{col 49}{space 3}0.493{col 57}{space 4} .7779289{col 70}{space 3} 1.128693
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001325{col 29}{space 2} .0020443{col 40}{space 1}    0.65{col 49}{space 3}0.517{col 57}{space 4} .9973264{col 70}{space 3}  1.00534
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.889871{col 29}{space 2} .2743412{col 40}{space 1}   11.18{col 49}{space 3}0.000{col 57}{space 4} 2.399232{col 70}{space 3} 3.480845
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7114607{col 29}{space 2} .0428717{col 40}{space 1}   -5.65{col 49}{space 3}0.000{col 57}{space 4} .6322059{col 70}{space 3}  .800651
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8130463{col 29}{space 2} .0566876{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4} .7091979{col 70}{space 3} .9321014
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999292{col 29}{space 2} .0000288{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4} .9998728{col 70}{space 3} .9999856
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .2304156{col 29}{space 2} .2666087{col 40}{space 1}   -1.27{col 49}{space 3}0.205{col 57}{space 4} .0238564{col 70}{space 3} 2.225452
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002525{col 29}{space 2}  .001283{col 40}{space 1}    1.97{col 49}{space 3}0.049{col 57}{space 4} 1.000014{col 70}{space 3} 1.005043
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9918585{col 29}{space 2} .0419393{col 40}{space 1}   -0.19{col 49}{space 3}0.847{col 57}{space 4} .9129729{col 70}{space 3}  1.07756
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9750764{col 29}{space 2} .0483327{col 40}{space 1}   -0.51{col 49}{space 3}0.611{col 57}{space 4} .8848022{col 70}{space 3} 1.074561
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6572404{col 29}{space 2} .1001487{col 40}{space 1}   -2.75{col 49}{space 3}0.006{col 57}{space 4} .4875511{col 70}{space 3} .8859889
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9700326{col 29}{space 2} .0439354{col 40}{space 1}   -0.67{col 49}{space 3}0.502{col 57}{space 4} .8876324{col 70}{space 3} 1.060082
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}   .83833{col 29}{space 2} .1403853{col 40}{space 1}   -1.05{col 49}{space 3}0.292{col 57}{space 4} .6037738{col 70}{space 3} 1.164007
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8236696{col 29}{space 2} .0968384{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4} .6541506{col 70}{space 3} 1.037118
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9993836{col 29}{space 2} .0963658{col 40}{space 1}   -0.01{col 49}{space 3}0.995{col 57}{space 4} .8272845{col 70}{space 3} 1.207284
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9528169{col 29}{space 2}   .07788{col 40}{space 1}   -0.59{col 49}{space 3}0.554{col 57}{space 4} .8117741{col 70}{space 3} 1.118365
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9186196{col 29}{space 2} .0608539{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4} .8067666{col 70}{space 3}  1.04598
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.180343{col 29}{space 2} .0709537{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} 1.049156{col 70}{space 3} 1.327934
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9690945{col 29}{space 2} .0420709{col 40}{space 1}   -0.72{col 49}{space 3}0.470{col 57}{space 4} .8900477{col 70}{space 3} 1.055162
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7611167{col 29}{space 2} .0630208{col 40}{space 1}   -3.30{col 49}{space 3}0.001{col 57}{space 4} .6471001{col 70}{space 3} .8952227
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.264851{col 29}{space 2} .0857137{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} 1.107533{col 70}{space 3} 1.444514
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  .964776{col 29}{space 2} .1300793{col 40}{space 1}   -0.27{col 49}{space 3}0.790{col 57}{space 4} .7407305{col 70}{space 3} 1.256588
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8441442{col 29}{space 2} .0640206{col 40}{space 1}   -2.23{col 49}{space 3}0.025{col 57}{space 4} .7275465{col 70}{space 3} .9794281
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.416191{col 29}{space 2} .4478517{col 40}{space 1}    9.37{col 49}{space 3}0.000{col 57}{space 4} 2.642119{col 70}{space 3} 4.417046
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.118763{col 29}{space 2} .1877931{col 40}{space 1}    0.67{col 49}{space 3}0.504{col 57}{space 4} .8051141{col 70}{space 3} 1.554601
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.335505{col 29}{space 2} .1910793{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} 1.008924{col 70}{space 3} 1.767797
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .9754699{col 29}{space 2} .0954024{col 40}{space 1}   -0.25{col 49}{space 3}0.800{col 57}{space 4} .8053137{col 70}{space 3} 1.181579
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8206798{col 29}{space 2}  .220909{col 40}{space 1}   -0.73{col 49}{space 3}0.463{col 57}{space 4}  .484227{col 70}{space 3} 1.390908
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8648596{col 29}{space 2} .1096153{col 40}{space 1}   -1.15{col 49}{space 3}0.252{col 57}{space 4} .6746233{col 70}{space 3}  1.10874
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6762502{col 29}{space 2} .1664957{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4}  .417386{col 70}{space 3} 1.095663
{txt}{space 12}11  {c |}{col 17}{res}{space 2} .9846274{col 29}{space 2} .2644658{col 40}{space 1}   -0.06{col 49}{space 3}0.954{col 57}{space 4} .5816257{col 70}{space 3} 1.666864
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.047023{col 29}{space 2} .3621642{col 40}{space 1}    0.13{col 49}{space 3}0.894{col 57}{space 4} .5315282{col 70}{space 3} 2.062462
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6687863{col 29}{space 2} .0625145{col 40}{space 1}   -4.30{col 49}{space 3}0.000{col 57}{space 4} .5568289{col 70}{space 3} .8032543
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.183204{col 29}{space 2} .2835161{col 40}{space 1}    0.70{col 49}{space 3}0.483{col 57}{space 4} .7397706{col 70}{space 3}  1.89244
{txt}{space 12}15  {c |}{col 17}{res}{space 2}  1.35365{col 29}{space 2} .5241026{col 40}{space 1}    0.78{col 49}{space 3}0.434{col 57}{space 4} .6337826{col 70}{space 3} 2.891161
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9934236{col 29}{space 2} .3016568{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4} .5478528{col 70}{space 3} 1.801379
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6656435{col 29}{space 2} .0832525{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4} .5209323{col 70}{space 3} .8505545
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .8187688{col 29}{space 2} .2136935{col 40}{space 1}   -0.77{col 49}{space 3}0.444{col 57}{space 4} .4909113{col 70}{space 3} 1.365587
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5337896{col 29}{space 2} .0548437{col 40}{space 1}   -6.11{col 49}{space 3}0.000{col 57}{space 4} .4364297{col 70}{space 3} .6528688
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8436321{col 29}{space 2} .0724092{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4} .7130078{col 70}{space 3} .9981871
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.478794{col 29}{space 2} .3033604{col 40}{space 1}    1.91{col 49}{space 3}0.057{col 57}{space 4} .9892179{col 70}{space 3} 2.210668
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.376024{col 29}{space 2} .3880427{col 40}{space 1}    1.13{col 49}{space 3}0.258{col 57}{space 4} .7917443{col 70}{space 3} 2.391483
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.109201{col 29}{space 2} .2569607{col 40}{space 1}    0.45{col 49}{space 3}0.655{col 57}{space 4} .7043981{col 70}{space 3} 1.746634
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7538793{col 29}{space 2} .2375676{col 40}{space 1}   -0.90{col 49}{space 3}0.370{col 57}{space 4} .4065045{col 70}{space 3}   1.3981
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .5645612{col 29}{space 2} .2233873{col 40}{space 1}   -1.44{col 49}{space 3}0.148{col 57}{space 4} .2599591{col 70}{space 3} 1.226075
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      4,830
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      4,830

{txt}50%    {res}-.2503832                      {txt}Mean          {res}-.1808024
                        {txt}Largest       Std. dev.     {res} .2335406
{txt}75%    {res}-.0442462        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0545412
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .7300542
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.690587
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,486
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      4,486

{txt}50%    {res} .2273195                      {txt}Mean          {res} .2057899
                        {txt}Largest       Std. dev.     {res} .1770804
{txt}75%    {res} .3323195        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0313575
{txt}95%    {res} .4655938        .490939       {txt}Skewness      {res}-.4269885
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.751912
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.487824{col 26}{space 2} .1912133{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} 1.156528{col 67}{space 3} 1.914022
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC9 = r(table)
{txt}
{com}. mat list modelC9
{res}
{txt}modelC9[9,1]
               (1)
     b {res} 1.4878236
{txt}    se {res} .19121326
{txt}     z {res} 3.0914892
{txt}pvalue {res} .00199155
{txt}    ll {res} 1.1565278
{txt}    ul {res} 1.9140215
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C10: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev   if samecongnew==0,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-57124.645
{txt}Iteration 1:  Log pseudolikelihood = {res}-56921.998
{txt}Iteration 2:  Log pseudolikelihood = {res}-56301.501
{txt}Iteration 3:  Log pseudolikelihood = {res}-56248.785
{txt}Iteration 4:  Log pseudolikelihood = {res}-56247.566
{txt}Iteration 5:  Log pseudolikelihood = {res}-56247.565
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-56247.565

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,316}{col 56}{txt}{lalign 13:Number of obs} = {res}{ralign 7:9,316}
{txt}No. of failures = {res}{ralign 7:6,821}
{txt}Time at risk    = {res}{ralign 7:927,822}
{col 56}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 7:7932.61}
{txt}Log pseudolikelihood = {res}-56247.565{col 56}{txt}{lalign 13:Prob > chi2} = {res}{ralign 7:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .7447278{col 29}{space 2} .1739035{col 40}{space 1}   -1.26{col 49}{space 3}0.207{col 57}{space 4}  .471228{col 70}{space 3} 1.176967
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3874174{col 29}{space 2} .1191439{col 40}{space 1}   -3.08{col 49}{space 3}0.002{col 57}{space 4} .2120342{col 70}{space 3}  .707868
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2}  2.44282{col 29}{space 2} .7923229{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} 1.293618{col 70}{space 3} 4.612928
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .9670668{col 29}{space 2} .5817042{col 40}{space 1}   -0.06{col 49}{space 3}0.956{col 57}{space 4} .2974725{col 70}{space 3} 3.143881
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.005544{col 29}{space 2} .0030207{col 40}{space 1}    1.84{col 49}{space 3}0.066{col 57}{space 4} .9996411{col 70}{space 3} 1.011482
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9932834{col 29}{space 2} .0047409{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4} .9840348{col 70}{space 3} 1.002619
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9079071{col 29}{space 2} .0778902{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4} .7673897{col 70}{space 3} 1.074155
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001481{col 29}{space 2} .0018021{col 40}{space 1}    0.82{col 49}{space 3}0.411{col 57}{space 4} .9979556{col 70}{space 3}  1.00502
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.951379{col 29}{space 2}  .257169{col 40}{space 1}   12.42{col 49}{space 3}0.000{col 57}{space 4} 2.488029{col 70}{space 3}  3.50102
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7006446{col 29}{space 2}  .043813{col 40}{space 1}   -5.69{col 49}{space 3}0.000{col 57}{space 4} .6198265{col 70}{space 3} .7920005
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8045357{col 29}{space 2} .0563268{col 40}{space 1}   -3.11{col 49}{space 3}0.002{col 57}{space 4} .7013766{col 70}{space 3} .9228674
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999372{col 29}{space 2} .0000302{col 40}{space 1}   -2.08{col 49}{space 3}0.038{col 57}{space 4}  .999878{col 70}{space 3} .9999965
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1521065{col 29}{space 2} .1733031{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4} .0163053{col 70}{space 3} 1.418951
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002396{col 29}{space 2} .0012599{col 40}{space 1}    1.90{col 49}{space 3}0.057{col 57}{space 4} .9999299{col 70}{space 3} 1.004869
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9905903{col 29}{space 2} .0418283{col 40}{space 1}   -0.22{col 49}{space 3}0.823{col 57}{space 4} .9119091{col 70}{space 3}  1.07606
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9692017{col 29}{space 2} .0488744{col 40}{space 1}   -0.62{col 49}{space 3}0.535{col 57}{space 4} .8779912{col 70}{space 3} 1.069888
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .654172{col 29}{space 2} .1001109{col 40}{space 1}   -2.77{col 49}{space 3}0.006{col 57}{space 4} .4846506{col 70}{space 3} .8829887
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9533947{col 29}{space 2} .0449325{col 40}{space 1}   -1.01{col 49}{space 3}0.311{col 57}{space 4} .8692737{col 70}{space 3} 1.045656
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8252023{col 29}{space 2} .1372041{col 40}{space 1}   -1.16{col 49}{space 3}0.248{col 57}{space 4} .5957081{col 70}{space 3} 1.143108
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8201032{col 29}{space 2} .0980441{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4} .6487937{col 70}{space 3} 1.036646
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.012499{col 29}{space 2}  .093702{col 40}{space 1}    0.13{col 49}{space 3}0.893{col 57}{space 4} .8445393{col 70}{space 3} 1.213862
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9455987{col 29}{space 2} .0731753{col 40}{space 1}   -0.72{col 49}{space 3}0.470{col 57}{space 4} .8125246{col 70}{space 3} 1.100467
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9355432{col 29}{space 2} .0662118{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4} .8143689{col 70}{space 3} 1.074748
{txt}{space 11}fvra {c |}{col 17}{res}{space 2}  1.18874{col 29}{space 2} .0724165{col 40}{space 1}    2.84{col 49}{space 3}0.005{col 57}{space 4} 1.054952{col 70}{space 3} 1.339494
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9678347{col 29}{space 2} .0423123{col 40}{space 1}   -0.75{col 49}{space 3}0.455{col 57}{space 4} .8883578{col 70}{space 3} 1.054422
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7718611{col 29}{space 2} .0615215{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4} .6602278{col 70}{space 3} .9023698
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.282761{col 29}{space 2}  .089548{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.118728{col 70}{space 3} 1.470846
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .8926497{col 29}{space 2} .0868539{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4} .7376665{col 70}{space 3} 1.080195
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  .869431{col 29}{space 2} .0476865{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4} .7808156{col 70}{space 3} .9681034
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.348368{col 29}{space 2} .4456194{col 40}{space 1}    9.08{col 49}{space 3}0.000{col 57}{space 4} 2.579589{col 70}{space 3} 4.346261
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.098989{col 29}{space 2} .1667477{col 40}{space 1}    0.62{col 49}{space 3}0.534{col 57}{space 4} .8162849{col 70}{space 3} 1.479601
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.369222{col 29}{space 2} .1568679{col 40}{space 1}    2.74{col 49}{space 3}0.006{col 57}{space 4} 1.093841{col 70}{space 3} 1.713932
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.024262{col 29}{space 2}  .089231{col 40}{space 1}    0.28{col 49}{space 3}0.783{col 57}{space 4} .8634883{col 70}{space 3} 1.214969
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8533354{col 29}{space 2} .2162767{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4} .5192589{col 70}{space 3} 1.402347
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8581504{col 29}{space 2} .0945075{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4} .6915462{col 70}{space 3} 1.064892
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7082372{col 29}{space 2} .1845443{col 40}{space 1}   -1.32{col 49}{space 3}0.186{col 57}{space 4} .4249937{col 70}{space 3} 1.180253
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.056216{col 29}{space 2} .2858508{col 40}{space 1}    0.20{col 49}{space 3}0.840{col 57}{space 4} .6214221{col 70}{space 3} 1.795226
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.136095{col 29}{space 2} .4123786{col 40}{space 1}    0.35{col 49}{space 3}0.725{col 57}{space 4} .5577585{col 70}{space 3} 2.314104
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7383673{col 29}{space 2} .0689843{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4} .6148175{col 70}{space 3} .8867448
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.077417{col 29}{space 2}   .22103{col 40}{space 1}    0.36{col 49}{space 3}0.716{col 57}{space 4} .7207118{col 70}{space 3} 1.610669
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.330504{col 29}{space 2} .5272506{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4} .6119319{col 70}{space 3} 2.892873
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.057662{col 29}{space 2} .3267563{col 40}{space 1}    0.18{col 49}{space 3}0.856{col 57}{space 4} .5772645{col 70}{space 3} 1.937844
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6829383{col 29}{space 2} .0904313{col 40}{space 1}   -2.88{col 49}{space 3}0.004{col 57}{space 4} .5268289{col 70}{space 3} .8853059
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7805611{col 29}{space 2}   .18479{col 40}{space 1}   -1.05{col 49}{space 3}0.295{col 57}{space 4} .4907876{col 70}{space 3} 1.241424
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5506431{col 29}{space 2}  .051834{col 40}{space 1}   -6.34{col 49}{space 3}0.000{col 57}{space 4} .4578715{col 70}{space 3} .6622117
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8444134{col 29}{space 2}  .076004{col 40}{space 1}   -1.88{col 49}{space 3}0.060{col 57}{space 4} .7078481{col 70}{space 3} 1.007326
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.429728{col 29}{space 2} .2804297{col 40}{space 1}    1.82{col 49}{space 3}0.068{col 57}{space 4} .9734128{col 70}{space 3} 2.099954
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.303475{col 29}{space 2} .3913065{col 40}{space 1}    0.88{col 49}{space 3}0.377{col 57}{space 4} .7237184{col 70}{space 3} 2.347662
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.065923{col 29}{space 2} .2992577{col 40}{space 1}    0.23{col 49}{space 3}0.820{col 57}{space 4} .6148247{col 70}{space 3} 1.847994
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .8262108{col 29}{space 2} .2959853{col 40}{space 1}   -0.53{col 49}{space 3}0.594{col 57}{space 4} .4094047{col 70}{space 3} 1.667358
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .7404249{col 29}{space 2} .2700276{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4}  .362288{col 70}{space 3} 1.513241
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5245913      -.7163319       {txt}Obs         {res}      4,830
{txt}25%    {res}-.4537927      -.7163319       {txt}Sum of wgt. {res}      4,830

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3060984
                        {txt}Largest       Std. dev.     {res} .2551283
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0650905
{txt}95%    {res}  .208236       .6940686       {txt}Skewness      {res} 1.829448
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.086971
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      4,486
{txt}25%    {res} .2528486      -.3632139       {txt}Sum of wgt. {res}      4,486

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3460984
                        {txt}Largest       Std. dev.     {res} .2146748
{txt}75%    {res} .4882833       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0460853
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}  -.67846
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.709373
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.234023{col 26}{space 2} .0942333{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} 1.062486{col 67}{space 3} 1.433254
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC10= r(table)
{txt}
{com}. mat list modelC10
{res}
{txt}modelC10[9,1]
               (1)
     b {res} 1.2340226
{txt}    se {res} .09423329
{txt}     z {res} 2.7536904
{txt}pvalue {res} .00589275
{txt}    ll {res} 1.0624856
{txt}    ul {res} 1.4332539
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. *
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C11: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if samecongnew==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-13313.433
{txt}Iteration 1:  Log pseudolikelihood = {res}-13302.487
{txt}Iteration 2:  Log pseudolikelihood = {res}-13302.487

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-13302.487}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13184.873}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12367.243}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12344.819}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12344.749}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12344.749}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,316}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,316}
{txt}No. of failures = {res}{ralign 7:6,821}
{txt}Time at risk    = {res}{ralign 7:927,822}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12344.749{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2}  .321204{col 29}{space 2} .2230411{col 40}{space 1}   -1.64{col 49}{space 3}0.102{col 57}{space 4} .0823596{col 70}{space 3} 1.252701
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2296532{col 29}{space 2} .1248318{col 40}{space 1}   -2.71{col 49}{space 3}0.007{col 57}{space 4} .0791385{col 70}{space 3}  .666434
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 6.507457{col 29}{space 2} 4.050855{col 40}{space 1}    3.01{col 49}{space 3}0.003{col 57}{space 4}  1.92107{col 70}{space 3} 22.04344
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.305206{col 29}{space 2} 1.112921{col 40}{space 1}    0.31{col 49}{space 3}0.755{col 57}{space 4} .2454017{col 70}{space 3} 6.941935
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9990167{col 29}{space 2} .0142652{col 40}{space 1}   -0.07{col 49}{space 3}0.945{col 57}{space 4}  .971445{col 70}{space 3} 1.027371
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9930737{col 29}{space 2} .0049899{col 40}{space 1}   -1.38{col 49}{space 3}0.167{col 57}{space 4} .9833417{col 70}{space 3} 1.002902
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9060715{col 29}{space 2}   .09902{col 40}{space 1}   -0.90{col 49}{space 3}0.367{col 57}{space 4}  .731373{col 70}{space 3} 1.122499
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002076{col 29}{space 2} .0023812{col 40}{space 1}    0.87{col 49}{space 3}0.383{col 57}{space 4} .9974195{col 70}{space 3} 1.006754
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.605523{col 29}{space 2} .2392991{col 40}{space 1}   10.43{col 49}{space 3}0.000{col 57}{space 4} 2.176296{col 70}{space 3} 3.119405
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8282056{col 29}{space 2} .0517458{col 40}{space 1}   -3.02{col 49}{space 3}0.003{col 57}{space 4} .7327497{col 70}{space 3} .9360967
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8225171{col 29}{space 2} .0603962{col 40}{space 1}   -2.66{col 49}{space 3}0.008{col 57}{space 4} .7122665{col 70}{space 3} .9498332
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9998916{col 29}{space 2} .0000316{col 40}{space 1}   -3.43{col 49}{space 3}0.001{col 57}{space 4} .9998296{col 70}{space 3} .9999536
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1843913{col 29}{space 2} .2614258{col 40}{space 1}   -1.19{col 49}{space 3}0.233{col 57}{space 4} .0114532{col 70}{space 3} 2.968619
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003021{col 29}{space 2} .0014425{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4} 1.000198{col 70}{space 3} 1.005852
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9944266{col 29}{space 2} .0454444{col 40}{space 1}   -0.12{col 49}{space 3}0.903{col 57}{space 4} .9092298{col 70}{space 3} 1.087607
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9603458{col 29}{space 2} .0509856{col 40}{space 1}   -0.76{col 49}{space 3}0.446{col 57}{space 4} .8654392{col 70}{space 3}  1.06566
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5782246{col 29}{space 2} .0886433{col 40}{space 1}   -3.57{col 49}{space 3}0.000{col 57}{space 4}  .428159{col 70}{space 3} .7808866
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9538939{col 29}{space 2} .0552756{col 40}{space 1}   -0.81{col 49}{space 3}0.415{col 57}{space 4} .8514816{col 70}{space 3} 1.068624
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .758583{col 29}{space 2} .1559291{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4} .5070326{col 70}{space 3} 1.134933
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7757284{col 29}{space 2} .1008041{col 40}{space 1}   -1.95{col 49}{space 3}0.051{col 57}{space 4} .6013094{col 70}{space 3}  1.00074
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9521925{col 29}{space 2}  .104267{col 40}{space 1}   -0.45{col 49}{space 3}0.655{col 57}{space 4} .7682746{col 70}{space 3} 1.180139
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9306668{col 29}{space 2} .0952214{col 40}{space 1}   -0.70{col 49}{space 3}0.483{col 57}{space 4} .7615586{col 70}{space 3} 1.137326
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8947312{col 29}{space 2} .0800988{col 40}{space 1}   -1.24{col 49}{space 3}0.214{col 57}{space 4} .7507419{col 70}{space 3} 1.066337
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.191829{col 29}{space 2} .0795705{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} 1.045647{col 70}{space 3} 1.358448
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.032888{col 29}{space 2} .0566358{col 40}{space 1}    0.59{col 49}{space 3}0.555{col 57}{space 4} .9276404{col 70}{space 3} 1.150076
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8161882{col 29}{space 2} .0778123{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4}   .67708{col 70}{space 3} .9838766
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.317409{col 29}{space 2} .1109575{col 40}{space 1}    3.27{col 49}{space 3}0.001{col 57}{space 4} 1.116938{col 70}{space 3} 1.553861
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9913504{col 29}{space 2} .1610776{col 40}{space 1}   -0.05{col 49}{space 3}0.957{col 57}{space 4}  .720977{col 70}{space 3} 1.363116
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8660607{col 29}{space 2} .0811542{col 40}{space 1}   -1.53{col 49}{space 3}0.125{col 57}{space 4} .7207531{col 70}{space 3} 1.040663
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.746673{col 29}{space 2} .3657735{col 40}{space 1}    7.59{col 49}{space 3}0.000{col 57}{space 4} 2.115693{col 70}{space 3} 3.565834
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.177098{col 29}{space 2}  .237618{col 40}{space 1}    0.81{col 49}{space 3}0.419{col 57}{space 4} .7924699{col 70}{space 3} 1.748408
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.453755{col 29}{space 2} .2623184{col 40}{space 1}    2.07{col 49}{space 3}0.038{col 57}{space 4} 1.020701{col 70}{space 3}  2.07054
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.044268{col 29}{space 2} .1252795{col 40}{space 1}    0.36{col 49}{space 3}0.718{col 57}{space 4} .8254565{col 70}{space 3} 1.321081
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8352525{col 29}{space 2} .2693568{col 40}{space 1}   -0.56{col 49}{space 3}0.577{col 57}{space 4} .4439332{col 70}{space 3} 1.571513
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  .848402{col 29}{space 2} .1381158{col 40}{space 1}   -1.01{col 49}{space 3}0.313{col 57}{space 4} .6166378{col 70}{space 3} 1.167275
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .645575{col 29}{space 2} .1856406{col 40}{space 1}   -1.52{col 49}{space 3}0.128{col 57}{space 4} .3674316{col 70}{space 3} 1.134271
{txt}{space 12}11  {c |}{col 17}{res}{space 2} .9858019{col 29}{space 2} .2909354{col 40}{space 1}   -0.05{col 49}{space 3}0.961{col 57}{space 4}  .552813{col 70}{space 3} 1.757928
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.09262{col 29}{space 2} .4506657{col 40}{space 1}    0.21{col 49}{space 3}0.830{col 57}{space 4} .4868329{col 70}{space 3} 2.452215
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6813672{col 29}{space 2} .0751801{col 40}{space 1}   -3.48{col 49}{space 3}0.001{col 57}{space 4} .5488606{col 70}{space 3} .8458638
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.128888{col 29}{space 2} .2890507{col 40}{space 1}    0.47{col 49}{space 3}0.636{col 57}{space 4} .6834419{col 70}{space 3} 1.864663
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.389332{col 29}{space 2} .6382649{col 40}{space 1}    0.72{col 49}{space 3}0.474{col 57}{space 4} .5646257{col 70}{space 3} 3.418626
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.061177{col 29}{space 2}  .388991{col 40}{space 1}    0.16{col 49}{space 3}0.871{col 57}{space 4} .5173288{col 70}{space 3} 2.176752
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5799667{col 29}{space 2} .0984106{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4} .4158804{col 70}{space 3} .8087933
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6084229{col 29}{space 2} .1849975{col 40}{space 1}   -1.63{col 49}{space 3}0.102{col 57}{space 4} .3352653{col 70}{space 3} 1.104136
{txt}{space 12}19  {c |}{col 17}{res}{space 2}   .57233{col 29}{space 2} .0715324{col 40}{space 1}   -4.46{col 49}{space 3}0.000{col 57}{space 4} .4479809{col 70}{space 3} .7311954
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8999045{col 29}{space 2} .1126563{col 40}{space 1}   -0.84{col 49}{space 3}0.400{col 57}{space 4} .7041044{col 70}{space 3} 1.150153
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.640108{col 29}{space 2}  .366497{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} 1.058434{col 70}{space 3} 2.541448
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.363886{col 29}{space 2} .4292795{col 40}{space 1}    0.99{col 49}{space 3}0.324{col 57}{space 4} .7359779{col 70}{space 3} 2.527502
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.151262{col 29}{space 2} .2921006{col 40}{space 1}    0.56{col 49}{space 3}0.579{col 57}{space 4} .7001728{col 70}{space 3} 1.892966
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .8104724{col 29}{space 2}  .299741{col 40}{space 1}   -0.57{col 49}{space 3}0.570{col 57}{space 4} .3925854{col 70}{space 3} 1.673179
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .5946165{col 29}{space 2} .2756928{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4} .2396509{col 70}{space 3} 1.475349
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .0961488{col 29}{space 2} .0783419{col 40}{space 1}   -2.87{col 49}{space 3}0.004{col 57}{space 4} .0194709{col 70}{space 3} .4747897
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0670521{col 29}{space 2} .0198937{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0280611{col 70}{space 3}  .106043
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.069351{col 29}{space 2} .0212733{col 57}{space 4} 1.028459{col 70}{space 3}  1.11187
{txt}            1/p {c |}{col 17}{res}{space 2} .9351465{col 29}{space 2} .0186035{col 57}{space 4}  .899386{col 70}{space 3} .9723289
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      4,830
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      4,830

{txt}50%    {res}-.2503832                      {txt}Mean          {res}-.1808024
                        {txt}Largest       Std. dev.     {res} .2335406
{txt}75%    {res}-.0442462        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0545412
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .7300542
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.690587
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,486
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      4,486

{txt}50%    {res} .2273195                      {txt}Mean          {res} .2057899
                        {txt}Largest       Std. dev.     {res} .1770804
{txt}75%    {res} .3323195        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0313575
{txt}95%    {res} .4655938        .490939       {txt}Skewness      {res}-.4269885
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.751912
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.573096{col 26}{space 2} .2368682{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} 1.171078{col 67}{space 3} 2.113122
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC11 = r(table)
{txt}
{com}. mat list modelC11
{res}
{txt}modelC11[9,1]
               (1)
     b {res} 1.5730961
{txt}    se {res}  .2368682
{txt}     z {res} 3.0087803
{txt}pvalue {res} .00262299
{txt}    ll {res} 1.1710784
{txt}    ul {res} 2.1131217
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C12: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev  if samecongnew==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-13313.433
{txt}Iteration 1:  Log pseudolikelihood = {res}-13302.487
{txt}Iteration 2:  Log pseudolikelihood = {res}-13302.487

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-13302.487}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -13176.14}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12369.416}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12347.358}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12347.285}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12347.285}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,316}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,316}
{txt}No. of failures = {res}{ralign 7:6,821}
{txt}Time at risk    = {res}{ralign 7:927,822}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12347.285{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .8630429{col 29}{space 2} .2551964{col 40}{space 1}   -0.50{col 49}{space 3}0.618{col 57}{space 4} .4834343{col 70}{space 3} 1.540733
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3626129{col 29}{space 2} .1368811{col 40}{space 1}   -2.69{col 49}{space 3}0.007{col 57}{space 4} .1730322{col 70}{space 3} .7599054
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2}   2.4847{col 29}{space 2} 1.010937{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} 1.119309{col 70}{space 3} 5.515667
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .6237621{col 29}{space 2} .4409247{col 40}{space 1}   -0.67{col 49}{space 3}0.504{col 57}{space 4} .1560709{col 70}{space 3} 2.492964
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.006464{col 29}{space 2} .0026269{col 40}{space 1}    2.47{col 49}{space 3}0.014{col 57}{space 4} 1.001328{col 70}{space 3} 1.011626
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9938046{col 29}{space 2} .0054422{col 40}{space 1}   -1.13{col 49}{space 3}0.256{col 57}{space 4} .9831952{col 70}{space 3} 1.004529
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8685055{col 29}{space 2} .0886039{col 40}{space 1}   -1.38{col 49}{space 3}0.167{col 57}{space 4} .7111055{col 70}{space 3} 1.060745
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001792{col 29}{space 2} .0021553{col 40}{space 1}    0.83{col 49}{space 3}0.405{col 57}{space 4} .9975761{col 70}{space 3} 1.006025
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.646347{col 29}{space 2} .2078671{col 40}{space 1}   12.39{col 49}{space 3}0.000{col 57}{space 4} 2.268747{col 70}{space 3} 3.086794
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8194631{col 29}{space 2} .0545821{col 40}{space 1}   -2.99{col 49}{space 3}0.003{col 57}{space 4} .7191728{col 70}{space 3} .9337391
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8107751{col 29}{space 2} .0703957{col 40}{space 1}   -2.42{col 49}{space 3}0.016{col 57}{space 4} .6839032{col 70}{space 3} .9611831
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999056{col 29}{space 2} .0000335{col 40}{space 1}   -2.82{col 49}{space 3}0.005{col 57}{space 4}   .99984{col 70}{space 3} .9999712
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0838149{col 29}{space 2} .1210775{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4} .0049396{col 70}{space 3}  1.42217
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002865{col 29}{space 2} .0014414{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} 1.000043{col 70}{space 3} 1.005694
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9945558{col 29}{space 2}  .044503{col 40}{space 1}   -0.12{col 49}{space 3}0.903{col 57}{space 4} .9110471{col 70}{space 3} 1.085719
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9522908{col 29}{space 2}  .054698{col 40}{space 1}   -0.85{col 49}{space 3}0.395{col 57}{space 4} .8508989{col 70}{space 3} 1.065764
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5762955{col 29}{space 2} .0905919{col 40}{space 1}   -3.51{col 49}{space 3}0.000{col 57}{space 4} .4234859{col 70}{space 3} .7842446
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9344079{col 29}{space 2} .0585405{col 40}{space 1}   -1.08{col 49}{space 3}0.279{col 57}{space 4} .8264353{col 70}{space 3} 1.056487
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7444352{col 29}{space 2} .1508362{col 40}{space 1}   -1.46{col 49}{space 3}0.145{col 57}{space 4} .5004467{col 70}{space 3} 1.107378
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7745779{col 29}{space 2} .1026936{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4} .5973277{col 70}{space 3} 1.004425
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9653418{col 29}{space 2} .0985909{col 40}{space 1}   -0.35{col 49}{space 3}0.730{col 57}{space 4} .7902189{col 70}{space 3} 1.179274
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2}  .928774{col 29}{space 2} .0879403{col 40}{space 1}   -0.78{col 49}{space 3}0.435{col 57}{space 4} .7714622{col 70}{space 3} 1.118164
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9174028{col 29}{space 2} .0890534{col 40}{space 1}   -0.89{col 49}{space 3}0.374{col 57}{space 4} .7584605{col 70}{space 3} 1.109653
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.194014{col 29}{space 2} .0824268{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} 1.042913{col 70}{space 3} 1.367007
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.032451{col 29}{space 2} .0575108{col 40}{space 1}    0.57{col 49}{space 3}0.566{col 57}{space 4} .9256675{col 70}{space 3} 1.151554
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8301924{col 29}{space 2} .0771127{col 40}{space 1}   -2.00{col 49}{space 3}0.045{col 57}{space 4} .6920135{col 70}{space 3} .9959624
{txt}policy_majage~y {c |}{col 17}{res}{space 2}  1.34382{col 29}{space 2} .1173367{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} 1.132447{col 70}{space 3} 1.594646
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .8791078{col 29}{space 2} .1072506{col 40}{space 1}   -1.06{col 49}{space 3}0.291{col 57}{space 4} .6921434{col 70}{space 3} 1.116576
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8677228{col 29}{space 2} .0553898{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4} .7656773{col 70}{space 3} .9833683
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.636065{col 29}{space 2} .3798332{col 40}{space 1}    6.73{col 49}{space 3}0.000{col 57}{space 4} 1.987493{col 70}{space 3} 3.496283
{txt}{space 13}5  {c |}{col 17}{res}{space 2}    1.128{col 29}{space 2} .2140238{col 40}{space 1}    0.63{col 49}{space 3}0.526{col 57}{space 4} .7776859{col 70}{space 3} 1.636115
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.474366{col 29}{space 2} .2196075{col 40}{space 1}    2.61{col 49}{space 3}0.009{col 57}{space 4} 1.101079{col 70}{space 3} 1.974205
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.091465{col 29}{space 2} .1130722{col 40}{space 1}    0.84{col 49}{space 3}0.398{col 57}{space 4} .8908984{col 70}{space 3} 1.337185
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8683266{col 29}{space 2} .2722574{col 40}{space 1}   -0.45{col 49}{space 3}0.652{col 57}{space 4} .4696725{col 70}{space 3} 1.605355
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8195461{col 29}{space 2} .1155623{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4} .6216521{col 70}{space 3} 1.080437
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .645234{col 29}{space 2} .1944407{col 40}{space 1}   -1.45{col 49}{space 3}0.146{col 57}{space 4} .3574443{col 70}{space 3} 1.164732
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.058637{col 29}{space 2} .3309642{col 40}{space 1}    0.18{col 49}{space 3}0.855{col 57}{space 4} .5736324{col 70}{space 3}  1.95371
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.12943{col 29}{space 2}  .489455{col 40}{space 1}    0.28{col 49}{space 3}0.779{col 57}{space 4} .4830351{col 70}{space 3} 2.640827
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7532591{col 29}{space 2} .0871101{col 40}{space 1}   -2.45{col 49}{space 3}0.014{col 57}{space 4} .6004927{col 70}{space 3} .9448894
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .9921621{col 29}{space 2} .2333263{col 40}{space 1}   -0.03{col 49}{space 3}0.973{col 57}{space 4} .6257574{col 70}{space 3} 1.573111
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.333536{col 29}{space 2} .6393306{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4} .5210955{col 70}{space 3} 3.412653
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.079172{col 29}{space 2} .4059631{col 40}{space 1}    0.20{col 49}{space 3}0.839{col 57}{space 4} .5162804{col 70}{space 3} 2.255775
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .606038{col 29}{space 2} .1102165{col 40}{space 1}   -2.75{col 49}{space 3}0.006{col 57}{space 4} .4243234{col 70}{space 3} .8655711
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5539444{col 29}{space 2} .1597244{col 40}{space 1}   -2.05{col 49}{space 3}0.041{col 57}{space 4}  .314797{col 70}{space 3} .9747691
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5758194{col 29}{space 2} .0695052{col 40}{space 1}   -4.57{col 49}{space 3}0.000{col 57}{space 4}  .454507{col 70}{space 3} .7295113
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9086251{col 29}{space 2} .1187194{col 40}{space 1}   -0.73{col 49}{space 3}0.463{col 57}{space 4} .7033447{col 70}{space 3} 1.173819
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.570382{col 29}{space 2} .3330639{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4}  1.03627{col 70}{space 3} 2.379784
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.264777{col 29}{space 2} .4125204{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4} .6673995{col 70}{space 3} 2.396858
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.130099{col 29}{space 2} .3543384{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4} .6112596{col 70}{space 3} 2.089333
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .8924912{col 29}{space 2} .3692217{col 40}{space 1}   -0.27{col 49}{space 3}0.783{col 57}{space 4} .3967014{col 70}{space 3}  2.00791
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .8028803{col 29}{space 2} .3376013{col 40}{space 1}   -0.52{col 49}{space 3}0.602{col 57}{space 4} .3521527{col 70}{space 3} 1.830503
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1598823{col 29}{space 2} .1379678{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} .0294625{col 70}{space 3} .8676225
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0674818{col 29}{space 2} .0173801{col 40}{space 1}    3.88{col 49}{space 3}0.000{col 57}{space 4} .0334175{col 70}{space 3} .1015462
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.069811{col 29}{space 2} .0185934{col 57}{space 4} 1.033982{col 70}{space 3} 1.106881
{txt}            1/p {c |}{col 17}{res}{space 2} .9347447{col 29}{space 2}  .016246{col 57}{space 4} .9034394{col 70}{space 3} .9671347
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5245913      -.7163319       {txt}Obs         {res}      4,830
{txt}25%    {res}-.4537927      -.7163319       {txt}Sum of wgt. {res}      4,830

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3060984
                        {txt}Largest       Std. dev.     {res} .2551283
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0650905
{txt}95%    {res}  .208236       .6940686       {txt}Skewness      {res} 1.829448
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.086971
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      4,486
{txt}25%    {res} .2528486      -.3632139       {txt}Sum of wgt. {res}      4,486

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3460984
                        {txt}Largest       Std. dev.     {res} .2146748
{txt}75%    {res} .4882833       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0460853
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}  -.67846
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.709373
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.238971{col 26}{space 2} .1186812{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} 1.026891{col 67}{space 3} 1.494851
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC12= r(table)
{txt}
{com}. mat list modelC12
{res}
{txt}modelC12[9,1]
               (1)
     b {res} 1.2389712
{txt}    se {res} .11868121
{txt}     z {res} 2.2369879
{txt}pvalue {res} .02528713
{txt}    ll {res} 1.0268914
{txt}    ul {res}  1.494851
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. * 
.  
.  
.  
.  
. **** CREATE FIGURE C3 BASED ON MODELS C9-C12 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
.  
. **** FIGURE C3 ****
. 
. matrix E = J(4, 3, .)
{txt}
{com}. matrix coln E = Point ll95 ul95
{txt}
{com}. matrix rown E = 1 2 3 4
{txt}
{com}. 
. matrix E[1,1] = modelC9[1,1]
{txt}
{com}. matrix E[1,2] = modelC9[5,1]
{txt}
{com}. matrix E[1,3] = modelC9[6,1]
{txt}
{com}. 
. matrix E[2,1] = modelC10[1,1]
{txt}
{com}. matrix E[2,2] = modelC10[5,1]
{txt}
{com}. matrix E[2,3] = modelC10[6,1]
{txt}
{com}. 
. matrix E[3,1] = modelC11[1,1]
{txt}
{com}. matrix E[3,2] = modelC11[5,1]
{txt}
{com}. matrix E[3,3] = modelC11[6,1]
{txt}
{com}. 
. matrix E[4,1] = modelC12[1,1]
{txt}
{com}. matrix E[4,2] = modelC12[5,1]
{txt}
{com}. matrix E[4,3] = modelC12[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(E[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C9" 2 "Model C10" 3 "Model C11" 4 "Model C12", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C3", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Renominated Rule 31 Nominees Omitted)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}.  
.  
. 
. 
. 
. *graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC3.gph", replace
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC3.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC3.gph} saved

{com}. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. *************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. 
. 
. 
. 
.  
. ***  SUBSAMPLE SENSITIVITY ANALYSES: (4) OMIT POST-NUCLEAR OPTION [NOVEMBER 21, 2013] EXECUTIVE NOMINATIONS [N = 8,222; 83.23% of full sample]   ***   
. 
. 
. 
.   
.     
.   
. 
. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
. *
. *
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C13: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if nuclear_option==0, vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-50024.062
{txt}Iteration 1:  Log pseudolikelihood = {res}-49801.481
{txt}Iteration 2:  Log pseudolikelihood = {res}-49197.456
{txt}Iteration 3:  Log pseudolikelihood = {res}-49147.611
{txt}Iteration 4:  Log pseudolikelihood = {res}-49146.469
{txt}Iteration 5:  Log pseudolikelihood = {res}-49146.468
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-49146.468

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:8,222}{col 54}{txt}{lalign 13:Number of obs} = {res}{ralign 9:8,222}
{txt}No. of failures = {res}{ralign 7:6,065}
{txt}Time at risk    = {res}{ralign 7:826,089}
{col 54}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 9:132514.56}
{txt}Log pseudolikelihood = {res}-49146.468{col 54}{txt}{lalign 13:Prob > chi2} = {res}{ralign 9:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .2151611{col 29}{space 2}  .099565{col 40}{space 1}   -3.32{col 49}{space 3}0.001{col 57}{space 4} .0868707{col 70}{space 3} .5329103
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2203293{col 29}{space 2} .1033065{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4} .0878955{col 70}{space 3} .5523036
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 7.923103{col 29}{space 2} 4.483216{col 40}{space 1}    3.66{col 49}{space 3}0.000{col 57}{space 4} 2.613669{col 70}{space 3} 24.01817
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.892289{col 29}{space 2} 1.351417{col 40}{space 1}    0.89{col 49}{space 3}0.372{col 57}{space 4} .4667498{col 70}{space 3} 7.671682
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.001117{col 29}{space 2} .0137835{col 40}{space 1}    0.08{col 49}{space 3}0.935{col 57}{space 4}  .974463{col 70}{space 3}   1.0285
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9923763{col 29}{space 2} .0041066{col 40}{space 1}   -1.85{col 49}{space 3}0.064{col 57}{space 4}   .98436{col 70}{space 3} 1.000458
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2}  .858801{col 29}{space 2} .1130479{col 40}{space 1}   -1.16{col 49}{space 3}0.248{col 57}{space 4} .6635062{col 70}{space 3} 1.111578
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.005989{col 29}{space 2} .0019687{col 40}{space 1}    3.05{col 49}{space 3}0.002{col 57}{space 4} 1.002138{col 70}{space 3} 1.009856
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.848139{col 29}{space 2}  .279949{col 40}{space 1}   10.65{col 49}{space 3}0.000{col 57}{space 4} 2.349065{col 70}{space 3} 3.453245
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7599401{col 29}{space 2} .0325162{col 40}{space 1}   -6.42{col 49}{space 3}0.000{col 57}{space 4} .6988086{col 70}{space 3} .8264194
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8384561{col 29}{space 2} .0838596{col 40}{space 1}   -1.76{col 49}{space 3}0.078{col 57}{space 4} .6892011{col 70}{space 3} 1.020034
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999649{col 29}{space 2} .0000432{col 40}{space 1}   -0.81{col 49}{space 3}0.417{col 57}{space 4} .9998803{col 70}{space 3}  1.00005
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .2147885{col 29}{space 2} .3409349{col 40}{space 1}   -0.97{col 49}{space 3}0.333{col 57}{space 4} .0095696{col 70}{space 3} 4.820894
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002586{col 29}{space 2} .0012929{col 40}{space 1}    2.00{col 49}{space 3}0.045{col 57}{space 4} 1.000056{col 70}{space 3} 1.005124
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.004618{col 29}{space 2} .0490376{col 40}{space 1}    0.09{col 49}{space 3}0.925{col 57}{space 4} .9129605{col 70}{space 3} 1.105478
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9544962{col 29}{space 2} .0471166{col 40}{space 1}   -0.94{col 49}{space 3}0.345{col 57}{space 4}  .866476{col 70}{space 3} 1.051458
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .462783{col 29}{space 2} .0667232{col 40}{space 1}   -5.34{col 49}{space 3}0.000{col 57}{space 4} .3488612{col 70}{space 3} .6139064
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9554312{col 29}{space 2} .0504384{col 40}{space 1}   -0.86{col 49}{space 3}0.388{col 57}{space 4} .8615162{col 70}{space 3} 1.059584
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .794246{col 29}{space 2} .1633359{col 40}{space 1}   -1.12{col 49}{space 3}0.263{col 57}{space 4} .5307699{col 70}{space 3} 1.188513
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7923402{col 29}{space 2} .0960464{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4} .6247844{col 70}{space 3} 1.004831
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8710028{col 29}{space 2} .0725803{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4} .7397573{col 70}{space 3} 1.025533
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8679554{col 29}{space 2} .0837173{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4} .7184492{col 70}{space 3} 1.048573
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8699385{col 29}{space 2} .0606611{col 40}{space 1}   -2.00{col 49}{space 3}0.046{col 57}{space 4} .7588117{col 70}{space 3} .9973396
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.266598{col 29}{space 2} .0982136{col 40}{space 1}    3.05{col 49}{space 3}0.002{col 57}{space 4} 1.088016{col 70}{space 3} 1.474491
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.001721{col 29}{space 2} .0524459{col 40}{space 1}    0.03{col 49}{space 3}0.974{col 57}{space 4} .9040271{col 70}{space 3} 1.109972
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7320151{col 29}{space 2} .0715595{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4} .6043788{col 70}{space 3} .8866063
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.234445{col 29}{space 2} .0941748{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} 1.063003{col 70}{space 3} 1.433538
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}   1.1036{col 29}{space 2} .1312901{col 40}{space 1}    0.83{col 49}{space 3}0.407{col 57}{space 4} .8740738{col 70}{space 3} 1.393397
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8630968{col 29}{space 2} .0684829{col 40}{space 1}   -1.86{col 49}{space 3}0.064{col 57}{space 4}  .738789{col 70}{space 3} 1.008321
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  3.01107{col 29}{space 2} .4746284{col 40}{space 1}    6.99{col 49}{space 3}0.000{col 57}{space 4} 2.210791{col 70}{space 3} 4.101039
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.193767{col 29}{space 2} .2401599{col 40}{space 1}    0.88{col 49}{space 3}0.379{col 57}{space 4} .8047784{col 70}{space 3} 1.770772
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.429884{col 29}{space 2} .2695033{col 40}{space 1}    1.90{col 49}{space 3}0.058{col 57}{space 4} .9882506{col 70}{space 3} 2.068876
{txt}{space 13}7  {c |}{col 17}{res}{space 2}  1.04006{col 29}{space 2} .1305765{col 40}{space 1}    0.31{col 49}{space 3}0.754{col 57}{space 4} .8131911{col 70}{space 3} 1.330223
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.051953{col 29}{space 2} .3915735{col 40}{space 1}    0.14{col 49}{space 3}0.892{col 57}{space 4} .5071649{col 70}{space 3} 2.181942
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9637562{col 29}{space 2} .1430121{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4} .7205384{col 70}{space 3} 1.289072
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .720872{col 29}{space 2} .1912903{col 40}{space 1}   -1.23{col 49}{space 3}0.217{col 57}{space 4} .4285323{col 70}{space 3} 1.212642
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.057153{col 29}{space 2} .3485095{col 40}{space 1}    0.17{col 49}{space 3}0.866{col 57}{space 4} .5540182{col 70}{space 3} 2.017213
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.340136{col 29}{space 2} .4978416{col 40}{space 1}    0.79{col 49}{space 3}0.431{col 57}{space 4} .6470528{col 70}{space 3} 2.775609
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6277783{col 29}{space 2} .0807359{col 40}{space 1}   -3.62{col 49}{space 3}0.000{col 57}{space 4} .4879068{col 70}{space 3} .8077476
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.100204{col 29}{space 2}  .353551{col 40}{space 1}    0.30{col 49}{space 3}0.766{col 57}{space 4} .5860561{col 70}{space 3} 2.065414
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.570077{col 29}{space 2} .7208489{col 40}{space 1}    0.98{col 49}{space 3}0.326{col 57}{space 4} .6384401{col 70}{space 3} 3.861197
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.142381{col 29}{space 2} .3740719{col 40}{space 1}    0.41{col 49}{space 3}0.684{col 57}{space 4} .6012924{col 70}{space 3} 2.170383
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .559463{col 29}{space 2} .0846652{col 40}{space 1}   -3.84{col 49}{space 3}0.000{col 57}{space 4}  .415869{col 70}{space 3} .7526381
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6712354{col 29}{space 2} .2449558{col 40}{space 1}   -1.09{col 49}{space 3}0.275{col 57}{space 4} .3282793{col 70}{space 3} 1.372481
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4585195{col 29}{space 2}  .073166{col 40}{space 1}   -4.89{col 49}{space 3}0.000{col 57}{space 4} .3353756{col 70}{space 3} .6268796
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .7252603{col 29}{space 2} .0783264{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4} .5869029{col 70}{space 3} .8962345
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.528795{col 29}{space 2}  .348943{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4} .9773834{col 70}{space 3} 2.391297
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.451185{col 29}{space 2} .5789909{col 40}{space 1}    0.93{col 49}{space 3}0.351{col 57}{space 4} .6639144{col 70}{space 3} 3.172002
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.233299{col 29}{space 2} .4715308{col 40}{space 1}    0.55{col 49}{space 3}0.583{col 57}{space 4} .5829425{col 70}{space 3}  2.60922
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7683204{col 29}{space 2} .4937007{col 40}{space 1}   -0.41{col 49}{space 3}0.682{col 57}{space 4} .2180644{col 70}{space 3} 2.707074
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4096805      -.5386078
{txt}10%    {res} -.384061      -.5386078       {txt}Obs         {res}      3,786
{txt}25%    {res}-.3220448      -.5386078       {txt}Sum of wgt. {res}      3,786

{txt}50%    {res}-.1451134                      {txt}Mean          {res}-.1222654
                        {txt}Largest       Std. dev.     {res} .2366339
{txt}75%    {res} .0905807        .490939
{txt}90%    {res}  .166939        .490939       {txt}Variance      {res} .0559956
{txt}95%    {res} .3246168        .490939       {txt}Skewness      {res} .3726298
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.373535
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,436
{txt}25%    {res} .0857807      -.1966079       {txt}Sum of wgt. {res}      4,436

{txt}50%    {res} .2273195                      {txt}Mean          {res} .2086939
                        {txt}Largest       Std. dev.     {res} .1822203
{txt}75%    {res} .3489552        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0332042
{txt}95%    {res} .4706168        .490939       {txt}Skewness      {res}-.4105169
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.636685
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.649806{col 26}{space 2} .2258101{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} 1.261619{col 67}{space 3} 2.157434
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC13 = r(table)
{txt}
{com}. mat list modelC13
{res}
{txt}modelC13[9,1]
               (1)
     b {res}  1.649806
{txt}    se {res} .22581011
{txt}     z {res} 3.6578883
{txt}pvalue {res}  .0002543
{txt}    ll {res} 1.2616193
{txt}    ul {res} 2.1574336
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C14: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if nuclear_option==0, vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-50024.062
{txt}Iteration 1:  Log pseudolikelihood = {res}-49802.972
{txt}Iteration 2:  Log pseudolikelihood = {res}-49211.813
{txt}Iteration 3:  Log pseudolikelihood = {res}-49163.775
{txt}Iteration 4:  Log pseudolikelihood = {res}-49162.702
{txt}Iteration 5:  Log pseudolikelihood = {res}-49162.701
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-49162.701

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:8,222}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:8,222}
{txt}No. of failures = {res}{ralign 7:6,065}
{txt}Time at risk    = {res}{ralign 7:826,089}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:88423.96}
{txt}Log pseudolikelihood = {res}-49162.701{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .6730517{col 29}{space 2} .1786084{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4} .4000961{col 70}{space 3} 1.132225
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3865822{col 29}{space 2}  .122168{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4} .2080869{col 70}{space 3} .7181896
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.793949{col 29}{space 2} 1.002672{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} 1.382756{col 70}{space 3} 5.645357
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .8696713{col 29}{space 2} .7175476{col 40}{space 1}   -0.17{col 49}{space 3}0.866{col 57}{space 4} .1726023{col 70}{space 3} 4.381913
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.005584{col 29}{space 2} .0038287{col 40}{space 1}    1.46{col 49}{space 3}0.144{col 57}{space 4} .9981078{col 70}{space 3} 1.013116
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9932494{col 29}{space 2}  .004605{col 40}{space 1}   -1.46{col 49}{space 3}0.144{col 57}{space 4} .9842647{col 70}{space 3} 1.002316
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8094832{col 29}{space 2} .1008724{col 40}{space 1}   -1.70{col 49}{space 3}0.090{col 57}{space 4} .6340694{col 70}{space 3} 1.033425
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2}  1.00547{col 29}{space 2} .0018624{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} 1.001826{col 70}{space 3} 1.009127
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.919967{col 29}{space 2} .2628623{col 40}{space 1}   11.90{col 49}{space 3}0.000{col 57}{space 4} 2.447658{col 70}{space 3} 3.483414
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}  .746411{col 29}{space 2}  .033305{col 40}{space 1}   -6.55{col 49}{space 3}0.000{col 57}{space 4} .6839074{col 70}{space 3} .8146269
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8361608{col 29}{space 2}  .087136{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4} .6816892{col 70}{space 3} 1.025636
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999859{col 29}{space 2} .0000409{col 40}{space 1}   -0.34{col 49}{space 3}0.730{col 57}{space 4} .9999057{col 70}{space 3} 1.000066
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0670306{col 29}{space 2} .0957303{col 40}{space 1}   -1.89{col 49}{space 3}0.058{col 57}{space 4} .0040797{col 70}{space 3} 1.101344
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002402{col 29}{space 2} .0012745{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4}  .999907{col 70}{space 3} 1.004903
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.002284{col 29}{space 2} .0492965{col 40}{space 1}    0.05{col 49}{space 3}0.963{col 57}{space 4} .9101753{col 70}{space 3} 1.103714
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9411549{col 29}{space 2} .0464011{col 40}{space 1}   -1.23{col 49}{space 3}0.219{col 57}{space 4} .8544662{col 70}{space 3} 1.036638
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .461041{col 29}{space 2} .0692114{col 40}{space 1}   -5.16{col 49}{space 3}0.000{col 57}{space 4} .3435241{col 70}{space 3} .6187594
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9372781{col 29}{space 2} .0517821{col 40}{space 1}   -1.17{col 49}{space 3}0.241{col 57}{space 4} .8410888{col 70}{space 3} 1.044468
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7856625{col 29}{space 2} .1619053{col 40}{space 1}   -1.17{col 49}{space 3}0.242{col 57}{space 4} .5245958{col 70}{space 3}  1.17665
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7910139{col 29}{space 2}  .097659{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4} .6210039{col 70}{space 3} 1.007567
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8830075{col 29}{space 2} .0644987{col 40}{space 1}   -1.70{col 49}{space 3}0.088{col 57}{space 4} .7652245{col 70}{space 3} 1.018919
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8664444{col 29}{space 2} .0778397{col 40}{space 1}   -1.60{col 49}{space 3}0.111{col 57}{space 4} .7265582{col 70}{space 3} 1.033263
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8897997{col 29}{space 2} .0631375{col 40}{space 1}   -1.65{col 49}{space 3}0.100{col 57}{space 4} .7742719{col 70}{space 3} 1.022565
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.282422{col 29}{space 2} .0973755{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4} 1.105092{col 70}{space 3} 1.488207
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9974629{col 29}{space 2} .0535784{col 40}{space 1}   -0.05{col 49}{space 3}0.962{col 57}{space 4} .8977898{col 70}{space 3} 1.108202
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7442991{col 29}{space 2} .0699159{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4} .6191412{col 70}{space 3} .8947573
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.249139{col 29}{space 2} .0931617{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} 1.079264{col 70}{space 3} 1.445753
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9556009{col 29}{space 2} .0923767{col 40}{space 1}   -0.47{col 49}{space 3}0.638{col 57}{space 4} .7906641{col 70}{space 3} 1.154944
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8513956{col 29}{space 2}  .052897{col 40}{space 1}   -2.59{col 49}{space 3}0.010{col 57}{space 4} .7537832{col 70}{space 3} .9616485
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.744611{col 29}{space 2} .4570028{col 40}{space 1}    6.06{col 49}{space 3}0.000{col 57}{space 4} 1.980377{col 70}{space 3} 3.803764
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.127945{col 29}{space 2} .2071648{col 40}{space 1}    0.66{col 49}{space 3}0.512{col 57}{space 4} .7869581{col 70}{space 3} 1.616682
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.442945{col 29}{space 2}  .234664{col 40}{space 1}    2.25{col 49}{space 3}0.024{col 57}{space 4} 1.049108{col 70}{space 3} 1.984629
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.079546{col 29}{space 2} .1267059{col 40}{space 1}    0.65{col 49}{space 3}0.514{col 57}{space 4} .8577014{col 70}{space 3} 1.358772
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.113143{col 29}{space 2} .4034847{col 40}{space 1}    0.30{col 49}{space 3}0.767{col 57}{space 4} .5470327{col 70}{space 3} 2.265108
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9053241{col 29}{space 2} .1147874{col 40}{space 1}   -0.78{col 49}{space 3}0.433{col 57}{space 4} .7061207{col 70}{space 3} 1.160725
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7197798{col 29}{space 2} .2071335{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4}  .409493{col 70}{space 3} 1.265181
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.152171{col 29}{space 2} .3880785{col 40}{space 1}    0.42{col 49}{space 3}0.674{col 57}{space 4} .5954045{col 70}{space 3} 2.229573
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.30801{col 29}{space 2} .5056423{col 40}{space 1}    0.69{col 49}{space 3}0.487{col 57}{space 4} .6131392{col 70}{space 3} 2.790379
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7027896{col 29}{space 2} .0980947{col 40}{space 1}   -2.53{col 49}{space 3}0.012{col 57}{space 4} .5345834{col 70}{space 3} .9239217
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .9548136{col 29}{space 2} .2893561{col 40}{space 1}   -0.15{col 49}{space 3}0.879{col 57}{space 4} .5271839{col 70}{space 3} 1.729319
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.541022{col 29}{space 2} .7243071{col 40}{space 1}    0.92{col 49}{space 3}0.358{col 57}{space 4} .6133793{col 70}{space 3} 3.871581
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.150312{col 29}{space 2}  .390677{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4} .5911866{col 70}{space 3}  2.23824
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5748057{col 29}{space 2} .0975596{col 40}{space 1}   -3.26{col 49}{space 3}0.001{col 57}{space 4} .4121447{col 70}{space 3} .8016639
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5809846{col 29}{space 2} .2027231{col 40}{space 1}   -1.56{col 49}{space 3}0.120{col 57}{space 4} .2931938{col 70}{space 3} 1.151263
{txt}{space 12}19  {c |}{col 17}{res}{space 2}  .452109{col 29}{space 2} .0715452{col 40}{space 1}   -5.02{col 49}{space 3}0.000{col 57}{space 4} .3315451{col 70}{space 3} .6165152
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .7171807{col 29}{space 2} .0886805{col 40}{space 1}   -2.69{col 49}{space 3}0.007{col 57}{space 4} .5628286{col 70}{space 3} .9138629
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.520422{col 29}{space 2} .3510464{col 40}{space 1}    1.81{col 49}{space 3}0.070{col 57}{space 4} .9670133{col 70}{space 3}  2.39054
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.455414{col 29}{space 2} .6294424{col 40}{space 1}    0.87{col 49}{space 3}0.386{col 57}{space 4} .6235282{col 70}{space 3} 3.397168
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.297363{col 29}{space 2} .4951074{col 40}{space 1}    0.68{col 49}{space 3}0.495{col 57}{space 4} .6140742{col 70}{space 3} 2.740956
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .9977888{col 29}{space 2} .6000578{col 40}{space 1}   -0.00{col 49}{space 3}0.997{col 57}{space 4} .3069987{col 70}{space 3} 3.242953
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5251514      -.7163319       {txt}Obs         {res}      3,786
{txt}25%    {res}-.4493055      -.7163319       {txt}Sum of wgt. {res}      3,786

{txt}50%    {res}-.3190412                      {txt}Mean          {res}-.2724836
                        {txt}Largest       Std. dev.     {res} .2785458
{txt}75%    {res}-.1762139       .6940686
{txt}90%    {res}-.0227167       .6940686       {txt}Variance      {res} .0775877
{txt}95%    {res} .4516945       .6940686       {txt}Skewness      {res} 1.469501
{txt}99%    {res} .6940686       .6940686       {txt}Kurtosis      {res} 5.571401
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0100685       -.411764       {txt}Obs         {res}      4,436
{txt}25%    {res} .2549588      -.3632139       {txt}Sum of wgt. {res}      4,436

{txt}50%    {res} .3612073                      {txt}Mean          {res} .3524438
                        {txt}Largest       Std. dev.     {res} .2191868
{txt}75%    {res} .5049651       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0480428
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.7307995
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.630502
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.273665{col 26}{space 2} .1076134{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 1.079286{col 67}{space 3} 1.503053
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC14= r(table)
{txt}
{com}. mat list modelC14
{res}
{txt}modelC14[9,1]
               (1)
     b {res} 1.2736652
{txt}    se {res} .10761336
{txt}     z {res} 2.8630092
{txt}pvalue {res} .00419638
{txt}    ll {res} 1.0792855
{txt}    ul {res} 1.5030528
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. *
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C15: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if nuclear_option==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-11943.014
{txt}Iteration 1:  Log pseudolikelihood = {res}-11918.714
{txt}Iteration 2:  Log pseudolikelihood = {res}-11918.712
{txt}Iteration 3:  Log pseudolikelihood = {res}-11918.712

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-11918.712}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11802.073}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-10980.158}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-10956.826}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-10956.715}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-10956.715}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:8,222}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:8,222}
{txt}No. of failures = {res}{ralign 7:6,065}
{txt}Time at risk    = {res}{ralign 7:826,089}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-10956.715{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2}  .227872{col 29}{space 2} .1550571{col 40}{space 1}   -2.17{col 49}{space 3}0.030{col 57}{space 4} .0600461{col 70}{space 3} .8647629
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2087569{col 29}{space 2} .1277359{col 40}{space 1}   -2.56{col 49}{space 3}0.010{col 57}{space 4} .0629217{col 70}{space 3} .6925981
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 8.613547{col 29}{space 2} 6.235425{col 40}{space 1}    2.97{col 49}{space 3}0.003{col 57}{space 4} 2.084441{col 70}{space 3} 35.59382
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.665522{col 29}{space 2} 1.480992{col 40}{space 1}    0.57{col 49}{space 3}0.566{col 57}{space 4} .2915125{col 70}{space 3} 9.515765
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.011608{col 29}{space 2} .0171046{col 40}{space 1}    0.68{col 49}{space 3}0.495{col 57}{space 4} .9786334{col 70}{space 3} 1.045695
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9927195{col 29}{space 2} .0049499{col 40}{space 1}   -1.47{col 49}{space 3}0.143{col 57}{space 4} .9830652{col 70}{space 3} 1.002469
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8639759{col 29}{space 2} .1355821{col 40}{space 1}   -0.93{col 49}{space 3}0.351{col 57}{space 4}   .63522{col 70}{space 3} 1.175111
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2}  1.00707{col 29}{space 2} .0024554{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.002269{col 70}{space 3} 1.011894
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.541481{col 29}{space 2} .2497737{col 40}{space 1}    9.49{col 49}{space 3}0.000{col 57}{space 4} 2.096195{col 70}{space 3} 3.081356
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8868434{col 29}{space 2}  .039203{col 40}{space 1}   -2.72{col 49}{space 3}0.007{col 57}{space 4} .8132414{col 70}{space 3} .9671066
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8515184{col 29}{space 2} .0895908{col 40}{space 1}   -1.53{col 49}{space 3}0.127{col 57}{space 4} .6928457{col 70}{space 3}  1.04653
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999278{col 29}{space 2}  .000049{col 40}{space 1}   -1.47{col 49}{space 3}0.141{col 57}{space 4} .9998318{col 70}{space 3} 1.000024
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1118965{col 29}{space 2}  .215302{col 40}{space 1}   -1.14{col 49}{space 3}0.255{col 57}{space 4} .0025763{col 70}{space 3} 4.859913
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002982{col 29}{space 2} .0014579{col 40}{space 1}    2.05{col 49}{space 3}0.040{col 57}{space 4} 1.000129{col 70}{space 3} 1.005844
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.014112{col 29}{space 2} .0528952{col 40}{space 1}    0.27{col 49}{space 3}0.788{col 57}{space 4} .9155623{col 70}{space 3} 1.123269
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9355486{col 29}{space 2} .0474475{col 40}{space 1}   -1.31{col 49}{space 3}0.189{col 57}{space 4} .8470258{col 70}{space 3} 1.033323
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .4304704{col 29}{space 2}  .060669{col 40}{space 1}   -5.98{col 49}{space 3}0.000{col 57}{space 4} .3265713{col 70}{space 3} .5674252
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9393624{col 29}{space 2}  .062276{col 40}{space 1}   -0.94{col 49}{space 3}0.345{col 57}{space 4} .8249012{col 70}{space 3} 1.069706
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7143914{col 29}{space 2} .1737148{col 40}{space 1}   -1.38{col 49}{space 3}0.167{col 57}{space 4} .4435617{col 70}{space 3} 1.150584
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7416163{col 29}{space 2} .1006045{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4} .5684718{col 70}{space 3} .9674968
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8325181{col 29}{space 2} .0749875{col 40}{space 1}   -2.04{col 49}{space 3}0.042{col 57}{space 4} .6977877{col 70}{space 3} .9932626
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8541437{col 29}{space 2}   .09466{col 40}{space 1}   -1.42{col 49}{space 3}0.155{col 57}{space 4} .6873802{col 70}{space 3} 1.061365
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8536356{col 29}{space 2}  .075474{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4}  .717817{col 70}{space 3} 1.015153
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.272006{col 29}{space 2}  .100548{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} 1.089443{col 70}{space 3} 1.485162
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.060217{col 29}{space 2} .0656153{col 40}{space 1}    0.94{col 49}{space 3}0.345{col 57}{space 4} .9391075{col 70}{space 3} 1.196946
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7899107{col 29}{space 2} .0890221{col 40}{space 1}   -2.09{col 49}{space 3}0.036{col 57}{space 4} .6333569{col 70}{space 3} .9851616
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.280073{col 29}{space 2} .1128014{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} 1.077025{col 70}{space 3}   1.5214
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.124322{col 29}{space 2} .1657761{col 40}{space 1}    0.79{col 49}{space 3}0.427{col 57}{space 4} .8421415{col 70}{space 3} 1.501055
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8820128{col 29}{space 2} .0891241{col 40}{space 1}   -1.24{col 49}{space 3}0.214{col 57}{space 4} .7235426{col 70}{space 3} 1.075191
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.585695{col 29}{space 2} .4709963{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4} 1.809368{col 70}{space 3} 3.695112
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.179303{col 29}{space 2} .2935498{col 40}{space 1}    0.66{col 49}{space 3}0.508{col 57}{space 4} .7240122{col 70}{space 3}   1.9209
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.490762{col 29}{space 2} .3344443{col 40}{space 1}    1.78{col 49}{space 3}0.075{col 57}{space 4} .9603862{col 70}{space 3} 2.314039
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.103245{col 29}{space 2} .1613996{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4} .8282185{col 70}{space 3} 1.469598
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9799084{col 29}{space 2} .4453891{col 40}{space 1}   -0.04{col 49}{space 3}0.964{col 57}{space 4}  .402065{col 70}{space 3} 2.388221
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9089562{col 29}{space 2} .1739521{col 40}{space 1}   -0.50{col 49}{space 3}0.618{col 57}{space 4} .6246599{col 70}{space 3} 1.322642
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .660608{col 29}{space 2} .2143529{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4} .3497418{col 70}{space 3} 1.247786
{txt}{space 12}11  {c |}{col 17}{res}{space 2} .9717245{col 29}{space 2} .3649029{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}  .465478{col 70}{space 3} 2.028557
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.288945{col 29}{space 2} .6005741{col 40}{space 1}    0.54{col 49}{space 3}0.586{col 57}{space 4} .5171587{col 70}{space 3} 3.212516
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6546357{col 29}{space 2} .1005764{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4} .4844215{col 70}{space 3}  .884659
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.177446{col 29}{space 2} .4471361{col 40}{space 1}    0.43{col 49}{space 3}0.667{col 57}{space 4} .5593667{col 70}{space 3} 2.478481
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.432719{col 29}{space 2} .8188198{col 40}{space 1}    0.63{col 49}{space 3}0.529{col 57}{space 4} .4673982{col 70}{space 3} 4.391725
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.148887{col 29}{space 2} .4716605{col 40}{space 1}    0.34{col 49}{space 3}0.735{col 57}{space 4} .5138394{col 70}{space 3}  2.56878
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .4960437{col 29}{space 2} .0990345{col 40}{space 1}   -3.51{col 49}{space 3}0.000{col 57}{space 4}  .335412{col 70}{space 3} .7336033
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5493023{col 29}{space 2} .2425252{col 40}{space 1}   -1.36{col 49}{space 3}0.175{col 57}{space 4} .2312029{col 70}{space 3} 1.305058
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5021273{col 29}{space 2}  .098051{col 40}{space 1}   -3.53{col 49}{space 3}0.000{col 57}{space 4} .3424513{col 70}{space 3} .7362561
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .7728886{col 29}{space 2} .1168902{col 40}{space 1}   -1.70{col 49}{space 3}0.088{col 57}{space 4} .5746227{col 70}{space 3} 1.039563
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.708667{col 29}{space 2} .4152279{col 40}{space 1}    2.20{col 49}{space 3}0.027{col 57}{space 4} 1.061218{col 70}{space 3} 2.751125
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.590025{col 29}{space 2} .7034845{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4} .6680385{col 70}{space 3} 3.784481
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.433291{col 29}{space 2} .6260789{col 40}{space 1}    0.82{col 49}{space 3}0.410{col 57}{space 4} .6088625{col 70}{space 3} 3.374034
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  1.02332{col 29}{space 2} .7433968{col 40}{space 1}    0.03{col 49}{space 3}0.975{col 57}{space 4} .2464059{col 70}{space 3} 4.249832
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1052919{col 29}{space 2} .0774258{col 40}{space 1}   -3.06{col 49}{space 3}0.002{col 57}{space 4} .0249154{col 70}{space 3} .4449602
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0553227{col 29}{space 2} .0182008{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} .0196498{col 70}{space 3} .0909956
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.056882{col 29}{space 2} .0192361{col 57}{space 4} 1.019844{col 70}{space 3} 1.095264
{txt}            1/p {c |}{col 17}{res}{space 2} .9461798{col 29}{space 2} .0172212{col 57}{space 4} .9130218{col 70}{space 3}  .980542
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4096805      -.5386078
{txt}10%    {res} -.384061      -.5386078       {txt}Obs         {res}      3,786
{txt}25%    {res}-.3220448      -.5386078       {txt}Sum of wgt. {res}      3,786

{txt}50%    {res}-.1451134                      {txt}Mean          {res}-.1222654
                        {txt}Largest       Std. dev.     {res} .2366339
{txt}75%    {res} .0905807        .490939
{txt}90%    {res}  .166939        .490939       {txt}Variance      {res} .0559956
{txt}95%    {res} .3246168        .490939       {txt}Skewness      {res} .3726298
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.373535
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,436
{txt}25%    {res} .0857807      -.1966079       {txt}Sum of wgt. {res}      4,436

{txt}50%    {res} .2273195                      {txt}Mean          {res} .2086939
                        {txt}Largest       Std. dev.     {res} .1822203
{txt}75%    {res} .3489552        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0332042
{txt}95%    {res} .4706168        .490939       {txt}Skewness      {res}-.4105169
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.636685
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.683489{col 26}{space 2} .2947884{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} 1.194428{col 67}{space 3} 2.372796
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC15 = r(table)
{txt}
{com}. mat list modelC15
{res}
{txt}modelC15[9,1]
               (1)
     b {res} 1.6834889
{txt}    se {res} .29478841
{txt}     z {res} 2.9745949
{txt}pvalue {res} .00293376
{txt}    ll {res} 1.1944282
{txt}    ul {res} 2.3727962
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C16: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev  if nuclear_option==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-11943.014
{txt}Iteration 1:  Log pseudolikelihood = {res}-11918.714
{txt}Iteration 2:  Log pseudolikelihood = {res}-11918.712
{txt}Iteration 3:  Log pseudolikelihood = {res}-11918.712

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-11918.712}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11783.149}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-10995.756}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-10973.677}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-10973.571}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-10973.571}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:8,222}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:8,222}
{txt}No. of failures = {res}{ralign 7:6,065}
{txt}Time at risk    = {res}{ralign 7:826,089}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-10973.571{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .7995747{col 29}{space 2} .2605742{col 40}{space 1}   -0.69{col 49}{space 3}0.492{col 57}{space 4} .4221435{col 70}{space 3}  1.51446
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3867662{col 29}{space 2} .1575039{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}  .174105{col 70}{space 3} .8591831
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.636703{col 29}{space 2} 1.193909{col 40}{space 1}    2.14{col 49}{space 3}0.032{col 57}{space 4}  1.08551{col 70}{space 3}  6.40455
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .6197369{col 29}{space 2} .5770136{col 40}{space 1}   -0.51{col 49}{space 3}0.607{col 57}{space 4} .0999276{col 70}{space 3} 3.843519
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.006828{col 29}{space 2} .0043458{col 40}{space 1}    1.58{col 49}{space 3}0.115{col 57}{space 4} .9983467{col 70}{space 3} 1.015382
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9943357{col 29}{space 2} .0054223{col 40}{space 1}   -1.04{col 49}{space 3}0.298{col 57}{space 4} .9837648{col 70}{space 3}  1.00502
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7929963{col 29}{space 2} .1215697{col 40}{space 1}   -1.51{col 49}{space 3}0.130{col 57}{space 4} .5871896{col 70}{space 3} 1.070937
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.006045{col 29}{space 2} .0022453{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} 1.001654{col 70}{space 3} 1.010455
{txt}{space 8}first90 {c |}{col 17}{res}{space 2}  2.58394{col 29}{space 2} .2206351{col 40}{space 1}   11.12{col 49}{space 3}0.000{col 57}{space 4} 2.185751{col 70}{space 3} 3.054668
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8788179{col 29}{space 2} .0423486{col 40}{space 1}   -2.68{col 49}{space 3}0.007{col 57}{space 4} .7996152{col 70}{space 3} .9658656
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}  .845391{col 29}{space 2} .1023804{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4} .6667661{col 70}{space 3} 1.071869
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  .999953{col 29}{space 2} .0000449{col 40}{space 1}   -1.05{col 49}{space 3}0.295{col 57}{space 4} .9998651{col 70}{space 3} 1.000041
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0265999{col 29}{space 2} .0441088{col 40}{space 1}   -2.19{col 49}{space 3}0.029{col 57}{space 4} .0010313{col 70}{space 3} .6860744
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002804{col 29}{space 2} .0014488{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4} .9999682{col 70}{space 3} 1.005647
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.012469{col 29}{space 2} .0522124{col 40}{space 1}    0.24{col 49}{space 3}0.810{col 57}{space 4} .9151359{col 70}{space 3} 1.120154
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9207982{col 29}{space 2} .0508196{col 40}{space 1}   -1.50{col 49}{space 3}0.135{col 57}{space 4} .8263917{col 70}{space 3}  1.02599
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .4272379{col 29}{space 2} .0633812{col 40}{space 1}   -5.73{col 49}{space 3}0.000{col 57}{space 4} .3194428{col 70}{space 3} .5714083
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9165255{col 29}{space 2} .0654718{col 40}{space 1}   -1.22{col 49}{space 3}0.222{col 57}{space 4} .7967813{col 70}{space 3} 1.054265
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .701668{col 29}{space 2} .1692451{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4} .4373393{col 70}{space 3} 1.125757
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7421458{col 29}{space 2} .1019788{col 40}{space 1}   -2.17{col 49}{space 3}0.030{col 57}{space 4} .5669243{col 70}{space 3} .9715238
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8430389{col 29}{space 2} .0633736{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4} .7275459{col 70}{space 3} .9768657
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8576514{col 29}{space 2} .0880498{col 40}{space 1}   -1.50{col 49}{space 3}0.135{col 57}{space 4} .7013311{col 70}{space 3} 1.048814
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8786065{col 29}{space 2} .0821148{col 40}{space 1}   -1.38{col 49}{space 3}0.166{col 57}{space 4} .7315447{col 70}{space 3} 1.055232
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.277351{col 29}{space 2} .1001003{col 40}{space 1}    3.12{col 49}{space 3}0.002{col 57}{space 4} 1.095483{col 70}{space 3} 1.489413
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  1.05647{col 29}{space 2} .0678554{col 40}{space 1}    0.86{col 49}{space 3}0.392{col 57}{space 4} .9315067{col 70}{space 3} 1.198198
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8048024{col 29}{space 2} .0877929{col 40}{space 1}   -1.99{col 49}{space 3}0.047{col 57}{space 4} .6498826{col 70}{space 3} .9966523
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.304473{col 29}{space 2} .1139105{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} 1.099273{col 70}{space 3} 1.547977
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9252572{col 29}{space 2} .1134398{col 40}{space 1}   -0.63{col 49}{space 3}0.526{col 57}{space 4} .7276159{col 70}{space 3} 1.176584
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8382672{col 29}{space 2} .0627972{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4} .7237961{col 70}{space 3} .9708422
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.240987{col 29}{space 2} .4540574{col 40}{space 1}    3.98{col 49}{space 3}0.000{col 57}{space 4} 1.506514{col 70}{space 3} 3.333539
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.099356{col 29}{space 2} .2553431{col 40}{space 1}    0.41{col 49}{space 3}0.683{col 57}{space 4} .6973219{col 70}{space 3}  1.73318
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.502484{col 29}{space 2} .3004013{col 40}{space 1}    2.04{col 49}{space 3}0.042{col 57}{space 4} 1.015368{col 70}{space 3} 2.223289
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.153927{col 29}{space 2} .1599951{col 40}{space 1}    1.03{col 49}{space 3}0.302{col 57}{space 4} .8793403{col 70}{space 3} 1.514258
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.072405{col 29}{space 2} .4804522{col 40}{space 1}    0.16{col 49}{space 3}0.876{col 57}{space 4} .4456653{col 70}{space 3} 2.580529
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8294134{col 29}{space 2} .1353256{col 40}{space 1}   -1.15{col 49}{space 3}0.252{col 57}{space 4} .6024076{col 70}{space 3} 1.141962
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6302493{col 29}{space 2} .2119268{col 40}{space 1}   -1.37{col 49}{space 3}0.170{col 57}{space 4} .3260532{col 70}{space 3} 1.218249
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.076936{col 29}{space 2} .4267431{col 40}{space 1}    0.19{col 49}{space 3}0.852{col 57}{space 4} .4953315{col 70}{space 3} 2.341446
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.206643{col 29}{space 2} .5730147{col 40}{space 1}    0.40{col 49}{space 3}0.692{col 57}{space 4} .4757268{col 70}{space 3} 3.060555
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7201209{col 29}{space 2} .1180009{col 40}{space 1}   -2.00{col 49}{space 3}0.045{col 57}{space 4} .5223063{col 70}{space 3} .9928544
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .9518448{col 29}{space 2} .3507954{col 40}{space 1}   -0.13{col 49}{space 3}0.893{col 57}{space 4} .4622342{col 70}{space 3} 1.960064
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.424408{col 29}{space 2} .8196402{col 40}{space 1}    0.61{col 49}{space 3}0.539{col 57}{space 4} .4611388{col 70}{space 3} 4.399843
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.097099{col 29}{space 2}  .459551{col 40}{space 1}    0.22{col 49}{space 3}0.825{col 57}{space 4} .4827206{col 70}{space 3} 2.493421
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .520173{col 29}{space 2} .1145891{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4} .3377819{col 70}{space 3} .8010495
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .4343998{col 29}{space 2} .1871509{col 40}{space 1}   -1.94{col 49}{space 3}0.053{col 57}{space 4} .1867108{col 70}{space 3} 1.010671
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4740528{col 29}{space 2} .0923732{col 40}{space 1}   -3.83{col 49}{space 3}0.000{col 57}{space 4}  .323566{col 70}{space 3} .6945294
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .7743302{col 29}{space 2} .1318769{col 40}{space 1}   -1.50{col 49}{space 3}0.133{col 57}{space 4} .5545711{col 70}{space 3} 1.081173
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.677925{col 29}{space 2} .4154916{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4} 1.032752{col 70}{space 3} 2.726146
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.526647{col 29}{space 2} .7098462{col 40}{space 1}    0.91{col 49}{space 3}0.363{col 57}{space 4} .6136984{col 70}{space 3} 3.797716
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.500334{col 29}{space 2} .6329293{col 40}{space 1}    0.96{col 49}{space 3}0.336{col 57}{space 4} .6562978{col 70}{space 3} 3.429849
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.256049{col 29}{space 2} .8177446{col 40}{space 1}    0.35{col 49}{space 3}0.726{col 57}{space 4} .3506193{col 70}{space 3} 4.499634
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .3488507{col 29}{space 2} .2805461{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4} .0721278{col 70}{space 3}  1.68724
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0540312{col 29}{space 2} .0150403{col 40}{space 1}    3.59{col 49}{space 3}0.000{col 57}{space 4} .0245528{col 70}{space 3} .0835097
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.055518{col 29}{space 2} .0158753{col 57}{space 4} 1.024857{col 70}{space 3} 1.087096
{txt}            1/p {c |}{col 17}{res}{space 2} .9474025{col 29}{space 2} .0142492{col 57}{space 4} .9198822{col 70}{space 3} .9757461
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5251514      -.7163319       {txt}Obs         {res}      3,786
{txt}25%    {res}-.4493055      -.7163319       {txt}Sum of wgt. {res}      3,786

{txt}50%    {res}-.3190412                      {txt}Mean          {res}-.2724836
                        {txt}Largest       Std. dev.     {res} .2785458
{txt}75%    {res}-.1762139       .6940686
{txt}90%    {res}-.0227167       .6940686       {txt}Variance      {res} .0775877
{txt}95%    {res} .4516945       .6940686       {txt}Skewness      {res} 1.469501
{txt}99%    {res} .6940686       .6940686       {txt}Kurtosis      {res} 5.571401
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0100685       -.411764       {txt}Obs         {res}      4,436
{txt}25%    {res} .2549588      -.3632139       {txt}Sum of wgt. {res}      4,436

{txt}50%    {res} .3612073                      {txt}Mean          {res} .3524438
                        {txt}Largest       Std. dev.     {res} .2191868
{txt}75%    {res} .5049651       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0480428
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.7307995
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.630502
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.256413{col 26}{space 2} .1339408{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} 1.019505{col 67}{space 3} 1.548372
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC16= r(table)
{txt}
{com}. mat list modelC16
{res}
{txt}modelC16[9,1]
               (1)
     b {res}  1.256413
{txt}    se {res} .13394083
{txt}     z {res} 2.1411689
{txt}pvalue {res} .03226042
{txt}    ll {res} 1.0195053
{txt}    ul {res} 1.5483723
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. * 
.  
.  
.  
.  
. **** CREATE FIGURE C4 BASED ON MODELS C13-C16 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
.  
. **** FIGURE C4 ****
. 
. matrix G = J(4, 3, .)
{txt}
{com}. matrix coln G = Point ll95 ul95
{txt}
{com}. matrix rown G = 1 2 3 4
{txt}
{com}. 
. matrix G[1,1] = modelC13[1,1]
{txt}
{com}. matrix G[1,2] = modelC13[5,1]
{txt}
{com}. matrix G[1,3] = modelC13[6,1]
{txt}
{com}. 
. matrix G[2,1] = modelC14[1,1]
{txt}
{com}. matrix G[2,2] = modelC14[5,1]
{txt}
{com}. matrix G[2,3] = modelC14[6,1]
{txt}
{com}. 
. matrix G[3,1] = modelC15[1,1]
{txt}
{com}. matrix G[3,2] = modelC15[5,1]
{txt}
{com}. matrix G[3,3] = modelC15[6,1]
{txt}
{com}. 
. matrix G[4,1] = modelC16[1,1]
{txt}
{com}. matrix G[4,2] = modelC16[5,1]
{txt}
{com}. matrix G[4,3] = modelC16[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(G[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C13" 2 "Model C14" 3 "Model C15" 4 "Model C16", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C4", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Post-Nuclear Option Nominees Omitted)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}.  
.  
. 
. 
. *graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC4.gph", replace
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC4.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC4.gph} saved

{com}. 
. 
. 
. 
. 
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. 
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. 
.  
. ***  SUBSAMPLE SENSITIVITY ANALYSES: (5) COMPARE HIGH COMMITTEE MEAN DELAY PRESIDENTS [REAGAN, BUSH 43, & OBAMA] TO LOW COMMITTEE MEAN DELAY PRESIDENTS [BUSH41, CLINTON, & TRUMP]   ***   
. 
. 
. ** PERFORM NONPARAMETRIC TRENDS TEST FOR VARIATION IN MEAN COMMITTEE CONFIRMATION DELAY FOR EXECUTIVE NOMINEES WITHIN EACH PRESIDENTIAL ADMINISTRATION **
. ** USE JONCKHEERE-TERPSTRA TEST WHICH DOES NOT ASSUME FUNCTIONAL FORM [E.G., LINEARITY] ** 
. 
. 
. * FULL SAMPLE OF EXECUTIVE NOMINEES *
. nptrend legvet2, group(presrev) jterpstra exact
{res}
{text}Permutations ({result:10,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}2,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}3,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}4,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}5,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}6,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}7,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}8,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}9,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10,000{text} done
{res}
{txt}Jonckheere{ch_endash}Terpstra test for trend

   Number of observations =   {res}10,110
         {txt}Number of groups =        {res}6
{txt}Number of response levels =      {res}515

{txt}{hline 13}{c TT}{hline 42}
{col 13} {c |}{space 24}Mean
{col 13} {c |}{space 20}response{space 8}Number
{col 7} Group {c |}{space 3}Group score{space 9}score{space 8}of obs
{hline 13}{c +}{hline 42}
     presrev {c |}
{space 2}        1  {c |}{res}{space 5}        1{space 5} 122.6778{space 5}      627
{txt}{space 2}        2  {c |}{res}{space 5}        2{space 5} 76.09661{space 5}    1,180
{txt}{space 2}        3  {c |}{res}{space 5}        3{space 5}  93.0646{space 5}    2,322
{txt}{space 2}        4  {c |}{res}{space 5}        4{space 5} 111.4494{space 5}    2,706
{txt}{space 2}        5  {c |}{res}{space 5}        5{space 5} 96.26833{space 5}    2,005
{txt}{space 2}        6  {c |}{res}{space 5}        6{space 5} 79.19528{space 5}    1,270
{txt}{hline 13}{c BT}{hline 42}

                Statistic =    {res}68161
                {txt}Std. err. = {res}331502.2
                        {txt}z =    {res}0.206
               {txt}Prob > |z| = {res}  0.8371
               {txt}Exact prob = {res}  0.8362{txt} ({res}10,000{txt} Monte Carlo permutations)

{com}. 
. *
. *
. 
. * SUBSAMPLE OF CONFIRMED EXECUTIVE NOMINEES *
. nptrend  legvet2 if confirmbinary==1, group(presrev) jterpstra exact
{res}
{text}Permutations ({result:10,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}2,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}3,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}4,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}5,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}6,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}7,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}8,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}9,000{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10,000{text} done
{res}
{txt}Jonckheere{ch_endash}Terpstra test for trend

   Number of observations =    {res}7,166
         {txt}Number of groups =        {res}6
{txt}Number of response levels =      {res}326

{txt}{hline 13}{c TT}{hline 42}
{col 13} {c |}{space 24}Mean
{col 13} {c |}{space 20}response{space 8}Number
{col 7} Group {c |}{space 3}Group score{space 9}score{space 8}of obs
{hline 13}{c +}{hline 42}
     presrev {c |}
{space 2}        1  {c |}{res}{space 5}        1{space 5} 77.74638{space 5}      414
{txt}{space 2}        2  {c |}{res}{space 5}        2{space 5} 60.93865{space 5}      978
{txt}{space 2}        3  {c |}{res}{space 5}        3{space 5} 69.06497{space 5}    1,724
{txt}{space 2}        4  {c |}{res}{space 5}        4{space 5} 77.18536{space 5}    1,926
{txt}{space 2}        5  {c |}{res}{space 5}        5{space 5} 79.19955{space 5}    1,343
{txt}{space 2}        6  {c |}{res}{space 5}        6{space 5} 63.04097{space 5}      781
{txt}{hline 13}{c BT}{hline 42}

                Statistic =   {res}558461
                {txt}Std. err. = {res}197720.2
                        {txt}z =    {res}2.825
               {txt}Prob > |z| = {res}  0.0047
               {txt}Exact prob = {res}  0.0052{txt} ({res}10,000{txt} Monte Carlo permutations)

{com}. 
. 
. 
. ** DUE TO NON-MONOTONIC NATURE OF COMMITTEE DELAY MEAN DIFFERENCES ARISE ACROSS PRESIDENTS FOR SUBSAMPLE OF CONFIRMED NOMINEES, WE UNDERTAKE SUB-SAMPLE ANALYSIS WITH "HIGH" COMMITTEE DELAY PRESIDENTS [REAGAN, BUSH 43, & OBAMA] VERSUS "LOW" COMMITTEE DELAY PRESIDENTS [BUSH41, CLINTON, & TRUMP] **
. 
. * CREATE BINARY PRESIDENTIAL ADMINISTRATION INDICATOR *
. 
. gen     preshighcomdelay = 1 if presrev==1 | presrev==4 | presrev==5
{txt}(4,772 missing values generated)

{com}. *
. replace preshighcomdelay = 0 if  presrev==2 | presrev==3 | presrev==6
{txt}(4,772 real changes made)

{com}.   
.     
.         
.         
.         
.   
. 
. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
. *
. *
. *
. 
. ****************************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C17: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev   if preshighcomdelay==0, vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-26145.837
{txt}Iteration 1:  Log pseudolikelihood = {res} -25774.59
{txt}Iteration 2:  Log pseudolikelihood = {res}-25595.628
{txt}Iteration 3:  Log pseudolikelihood = {res} -25583.18
{txt}Iteration 4:  Log pseudolikelihood = {res}-25583.002
{txt}Iteration 5:  Log pseudolikelihood = {res}-25583.002
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-25583.002

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:4,623}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:4,623}
{txt}No. of failures = {res}{ralign 7:3,416}
{txt}Time at risk    = {res}{ralign 7:411,091}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:78155.89}
{txt}Log pseudolikelihood = {res}-25583.002{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .0880111{col 29}{space 2} .0468261{col 40}{space 1}   -4.57{col 49}{space 3}0.000{col 57}{space 4} .0310211{col 70}{space 3} .2496993
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1197197{col 29}{space 2} .0610015{col 40}{space 1}   -4.17{col 49}{space 3}0.000{col 57}{space 4}  .044101{col 70}{space 3} .3249999
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 32.70304{col 29}{space 2}  31.4909{col 40}{space 1}    3.62{col 49}{space 3}0.000{col 57}{space 4} 4.953776{col 70}{space 3} 215.8937
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.339209{col 29}{space 2}  .936554{col 40}{space 1}    0.42{col 49}{space 3}0.676{col 57}{space 4} .3400747{col 70}{space 3} 5.273784
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9938029{col 29}{space 2} .0112948{col 40}{space 1}   -0.55{col 49}{space 3}0.584{col 57}{space 4} .9719101{col 70}{space 3} 1.016189
{txt}committeestaf~e {c |}{col 17}{res}{space 2}  .988323{col 29}{space 2} .0055521{col 40}{space 1}   -2.09{col 49}{space 3}0.037{col 57}{space 4} .9775007{col 70}{space 3} .9992651
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.203824{col 29}{space 2} .2073789{col 40}{space 1}    1.08{col 49}{space 3}0.282{col 57}{space 4} .8588736{col 70}{space 3} 1.687317
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} .9922492{col 29}{space 2} .0035665{col 40}{space 1}   -2.16{col 49}{space 3}0.030{col 57}{space 4} .9852836{col 70}{space 3}  .999264
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.058594{col 29}{space 2} .2397954{col 40}{space 1}    6.20{col 49}{space 3}0.000{col 57}{space 4} 1.638394{col 70}{space 3} 2.586562
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .4757079{col 29}{space 2} .0482627{col 40}{space 1}   -7.32{col 49}{space 3}0.000{col 57}{space 4}  .389926{col 70}{space 3} .5803614
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} 1.590196{col 29}{space 2} .3203184{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} 1.071496{col 70}{space 3} 2.359995
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9997374{col 29}{space 2} .0000868{col 40}{space 1}   -3.02{col 49}{space 3}0.002{col 57}{space 4} .9995672{col 70}{space 3} .9999076
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0011733{col 29}{space 2} .0029117{col 40}{space 1}   -2.72{col 49}{space 3}0.007{col 57}{space 4} 9.06e-06{col 70}{space 3} .1519595
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003574{col 29}{space 2}   .00116{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} 1.001303{col 70}{space 3}  1.00585
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.046599{col 29}{space 2} .0420307{col 40}{space 1}    1.13{col 49}{space 3}0.257{col 57}{space 4} .9673788{col 70}{space 3} 1.132306
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} 1.127527{col 29}{space 2} .0677385{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} 1.002281{col 70}{space 3} 1.268425
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6380298{col 29}{space 2}  .066999{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4} .5193463{col 70}{space 3} .7838356
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9635967{col 29}{space 2}  .041335{col 40}{space 1}   -0.86{col 49}{space 3}0.387{col 57}{space 4} .8858939{col 70}{space 3} 1.048115
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8679386{col 29}{space 2} .1137815{col 40}{space 1}   -1.08{col 49}{space 3}0.280{col 57}{space 4} .6712768{col 70}{space 3} 1.122216
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8796205{col 29}{space 2} .0763071{col 40}{space 1}   -1.48{col 49}{space 3}0.139{col 57}{space 4} .7420848{col 70}{space 3} 1.042647
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.077674{col 29}{space 2} .1991509{col 40}{space 1}    0.40{col 49}{space 3}0.686{col 57}{space 4} .7502186{col 70}{space 3} 1.548057
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9760734{col 29}{space 2} .0456648{col 40}{space 1}   -0.52{col 49}{space 3}0.605{col 57}{space 4} .8905528{col 70}{space 3} 1.069807
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.003931{col 29}{space 2} .1022133{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4} .8223191{col 70}{space 3} 1.225652
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .8409966{col 29}{space 2} .0799373{col 40}{space 1}   -1.82{col 49}{space 3}0.068{col 57}{space 4} .6980507{col 70}{space 3} 1.013215
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .8694437{col 29}{space 2} .0418896{col 40}{space 1}   -2.90{col 49}{space 3}0.004{col 57}{space 4} .7910989{col 70}{space 3} .9555472
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .5398195{col 29}{space 2} .0403077{col 40}{space 1}   -8.26{col 49}{space 3}0.000{col 57}{space 4} .4663268{col 70}{space 3} .6248946
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.335214{col 29}{space 2} .0932154{col 40}{space 1}    4.14{col 49}{space 3}0.000{col 57}{space 4} 1.164463{col 70}{space 3} 1.531002
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.305301{col 29}{space 2} .2614105{col 40}{space 1}    1.33{col 49}{space 3}0.183{col 57}{space 4} .8815393{col 70}{space 3} 1.932766
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  .674354{col 29}{space 2}  .047641{col 40}{space 1}   -5.58{col 49}{space 3}0.000{col 57}{space 4} .5871556{col 70}{space 3} .7745022
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  4.43987{col 29}{space 2} 1.320023{col 40}{space 1}    5.01{col 49}{space 3}0.000{col 57}{space 4} 2.479125{col 70}{space 3}  7.95137
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.107355{col 29}{space 2} .2148433{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4} .7570789{col 70}{space 3} 1.619692
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.710412{col 29}{space 2}  .279863{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4}  1.24115{col 70}{space 3} 2.357094
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .9202195{col 29}{space 2} .0858607{col 40}{space 1}   -0.89{col 49}{space 3}0.373{col 57}{space 4} .7664264{col 70}{space 3} 1.104873
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .7486412{col 29}{space 2}  .245292{col 40}{space 1}   -0.88{col 49}{space 3}0.377{col 57}{space 4} .3938926{col 70}{space 3} 1.422884
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8941221{col 29}{space 2} .1240821{col 40}{space 1}   -0.81{col 49}{space 3}0.420{col 57}{space 4} .6811943{col 70}{space 3} 1.173607
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6905231{col 29}{space 2} .2011749{col 40}{space 1}   -1.27{col 49}{space 3}0.204{col 57}{space 4} .3901142{col 70}{space 3} 1.222263
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.470419{col 29}{space 2} .6364697{col 40}{space 1}    0.89{col 49}{space 3}0.373{col 57}{space 4} .6295047{col 70}{space 3} 3.434654
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  .742468{col 29}{space 2}  .280313{col 40}{space 1}   -0.79{col 49}{space 3}0.430{col 57}{space 4} .3542527{col 70}{space 3} 1.556117
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6632255{col 29}{space 2} .1222278{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4} .4621583{col 70}{space 3} .9517692
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 2.474005{col 29}{space 2} 1.216058{col 40}{space 1}    1.84{col 49}{space 3}0.065{col 57}{space 4} .9440735{col 70}{space 3} 6.483289
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.222643{col 29}{space 2} .5467716{col 40}{space 1}    0.45{col 49}{space 3}0.653{col 57}{space 4} .5089069{col 70}{space 3} 2.937385
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9993129{col 29}{space 2} .3316233{col 40}{space 1}   -0.00{col 49}{space 3}0.998{col 57}{space 4} .5214697{col 70}{space 3} 1.915022
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .8754452{col 29}{space 2} .1285796{col 40}{space 1}   -0.91{col 49}{space 3}0.365{col 57}{space 4} .6564628{col 70}{space 3} 1.167476
{txt}{space 12}18  {c |}{col 17}{res}{space 2} 1.241825{col 29}{space 2} .5043652{col 40}{space 1}    0.53{col 49}{space 3}0.594{col 57}{space 4} .5602043{col 70}{space 3} 2.752799
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .3631017{col 29}{space 2} .0790847{col 40}{space 1}   -4.65{col 49}{space 3}0.000{col 57}{space 4} .2369375{col 70}{space 3} .5564456
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .7403824{col 29}{space 2} .0775917{col 40}{space 1}   -2.87{col 49}{space 3}0.004{col 57}{space 4} .6029075{col 70}{space 3} .9092045
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}3  {c |}{col 17}{res}{space 2} .9619323{col 29}{space 2} .2640246{col 40}{space 1}   -0.14{col 49}{space 3}0.888{col 57}{space 4} .5617105{col 70}{space 3} 1.647314
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .4824713{col 29}{space 2} .3203811{col 40}{space 1}   -1.10{col 49}{space 3}0.272{col 57}{space 4}  .131292{col 70}{space 3} 1.772984
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.5386078      -.5386078
{txt}10%    {res}-.4976805      -.5386078       {txt}Obs         {res}      2,015
{txt}25%    {res} -.412061      -.5386078       {txt}Sum of wgt. {res}      2,015

{txt}50%    {res}-.3518783                      {txt}Mean          {res}-.2961559
                        {txt}Largest       Std. dev.     {res} .1809537
{txt}75%    {res}-.1720448       .4655938
{txt}90%    {res} -.115061        .490939       {txt}Variance      {res} .0327442
{txt}95%    {res}-.0025696        .490939       {txt}Skewness      {res} 1.439684
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 6.464386
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0977183      -.2201461       {txt}Obs         {res}      2,608
{txt}25%    {res} .0419552      -.1966079       {txt}Sum of wgt. {res}      2,608

{txt}50%    {res} .1003195                      {txt}Mean          {res} .0992734
                        {txt}Largest       Std. dev.     {res} .1409726
{txt}75%    {res} .2273195       .3125807
{txt}90%    {res} .2363921       .3125807       {txt}Variance      {res} .0198733
{txt}95%    {res} .2885807       .3125807       {txt}Skewness      {res}-.7237431
{txt}99%    {res} .3125807       .3125807       {txt}Kurtosis      {res}  2.70818
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.324675{col 26}{space 2} .5414711{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} 1.472643{col 67}{space 3}  3.66967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC17 = r(table)
{txt}
{com}. mat list modelC17
{res}
{txt}modelC17[9,1]
               (1)
     b {res} 2.3246748
{txt}    se {res} .54147112
{txt}     z {res} 3.6217066
{txt}pvalue {res} .00029267
{txt}    ll {res}  1.472643
{txt}    ul {res} 3.6696695
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. * "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C18: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload   female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev   if preshighcomdelay==0,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-26145.837
{txt}Iteration 1:  Log pseudolikelihood = {res}-25751.917
{txt}Iteration 2:  Log pseudolikelihood = {res}-25572.381
{txt}Iteration 3:  Log pseudolikelihood = {res}  -25560.1
{txt}Iteration 4:  Log pseudolikelihood = {res}-25559.931
{txt}Iteration 5:  Log pseudolikelihood = {res}-25559.931
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-25559.931

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:4,623}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:4,623}
{txt}No. of failures = {res}{ralign 7:3,416}
{txt}Time at risk    = {res}{ralign 7:411,091}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:23325.10}
{txt}Log pseudolikelihood = {res}-25559.931{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .0554299{col 29}{space 2} .0222793{col 40}{space 1}   -7.20{col 49}{space 3}0.000{col 57}{space 4} .0252125{col 70}{space 3} .1218633
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1839783{col 29}{space 2} .0523247{col 40}{space 1}   -5.95{col 49}{space 3}0.000{col 57}{space 4} .1053607{col 70}{space 3} .3212582
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 23.60215{col 29}{space 2} 12.98887{col 40}{space 1}    5.74{col 49}{space 3}0.000{col 57}{space 4} 8.026263{col 70}{space 3} 69.40481
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 3.294827{col 29}{space 2} 1.982676{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} 1.013021{col 70}{space 3} 10.71635
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.006338{col 29}{space 2} .0056161{col 40}{space 1}    1.13{col 49}{space 3}0.258{col 57}{space 4}  .995391{col 70}{space 3} 1.017406
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9899882{col 29}{space 2} .0058568{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .9785753{col 70}{space 3} 1.001534
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.277492{col 29}{space 2} .2276791{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4} .9008535{col 70}{space 3}   1.8116
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} .9941079{col 29}{space 2} .0035699{col 40}{space 1}   -1.65{col 49}{space 3}0.100{col 57}{space 4} .9871357{col 70}{space 3} 1.001129
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.137482{col 29}{space 2} .2316352{col 40}{space 1}    7.01{col 49}{space 3}0.000{col 57}{space 4} 1.728459{col 70}{space 3} 2.643295
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}  .477718{col 29}{space 2} .0495925{col 40}{space 1}   -7.12{col 49}{space 3}0.000{col 57}{space 4}  .389769{col 70}{space 3} .5855121
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}    1.441{col 29}{space 2}  .269545{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4} .9987187{col 70}{space 3} 2.079145
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9997428{col 29}{space 2} .0000823{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4} .9995814{col 70}{space 3} .9999041
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0204264{col 29}{space 2} .0484446{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4} .0001956{col 70}{space 3} 2.132816
{txt}{space 7}workload {c |}{col 17}{res}{space 2}  1.00346{col 29}{space 2}  .001077{col 40}{space 1}    3.22{col 49}{space 3}0.001{col 57}{space 4} 1.001351{col 70}{space 3} 1.005573
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.040504{col 29}{space 2} .0444857{col 40}{space 1}    0.93{col 49}{space 3}0.353{col 57}{space 4} .9568671{col 70}{space 3} 1.131452
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} 1.118543{col 29}{space 2}  .068347{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4} .9922961{col 70}{space 3} 1.260852
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6449619{col 29}{space 2} .0686033{col 40}{space 1}   -4.12{col 49}{space 3}0.000{col 57}{space 4} .5235926{col 70}{space 3} .7944647
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9520826{col 29}{space 2} .0367512{col 40}{space 1}   -1.27{col 49}{space 3}0.203{col 57}{space 4}  .882709{col 70}{space 3} 1.026908
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8408607{col 29}{space 2} .1099488{col 40}{space 1}   -1.33{col 49}{space 3}0.185{col 57}{space 4} .6507634{col 70}{space 3} 1.086488
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8725259{col 29}{space 2} .0735128{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4} .7397112{col 70}{space 3} 1.029187
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.074117{col 29}{space 2} .1960824{col 40}{space 1}    0.39{col 49}{space 3}0.695{col 57}{space 4} .7510396{col 70}{space 3} 1.536174
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2}   .97655{col 29}{space 2} .0520319{col 40}{space 1}   -0.45{col 49}{space 3}0.656{col 57}{space 4} .8797136{col 70}{space 3} 1.084046
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9923203{col 29}{space 2} .0987418{col 40}{space 1}   -0.08{col 49}{space 3}0.938{col 57}{space 4} .8164926{col 70}{space 3} 1.206012
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .8286278{col 29}{space 2}  .081655{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4} .6830933{col 70}{space 3} 1.005169
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .8697666{col 29}{space 2} .0398703{col 40}{space 1}   -3.04{col 49}{space 3}0.002{col 57}{space 4} .7950298{col 70}{space 3}  .951529
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .5299222{col 29}{space 2} .0371869{col 40}{space 1}   -9.05{col 49}{space 3}0.000{col 57}{space 4} .4618273{col 70}{space 3} .6080573
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.326978{col 29}{space 2} .0914619{col 40}{space 1}    4.10{col 49}{space 3}0.000{col 57}{space 4} 1.159297{col 70}{space 3} 1.518912
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.339521{col 29}{space 2}  .255216{col 40}{space 1}    1.53{col 49}{space 3}0.125{col 57}{space 4} .9220869{col 70}{space 3} 1.945929
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .7220594{col 29}{space 2} .0667118{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4} .6024619{col 70}{space 3} .8653987
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 7.253744{col 29}{space 2}  2.21166{col 40}{space 1}    6.50{col 49}{space 3}0.000{col 57}{space 4} 3.990541{col 70}{space 3} 13.18538
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.011302{col 29}{space 2} .2147223{col 40}{space 1}    0.05{col 49}{space 3}0.958{col 57}{space 4} .6670399{col 70}{space 3} 1.533241
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.707227{col 29}{space 2} .3175192{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} 1.185715{col 70}{space 3} 2.458115
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.109543{col 29}{space 2} .1366528{col 40}{space 1}    0.84{col 49}{space 3}0.399{col 57}{space 4} .8715836{col 70}{space 3}  1.41247
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .6439437{col 29}{space 2} .2250576{col 40}{space 1}   -1.26{col 49}{space 3}0.208{col 57}{space 4}  .324604{col 70}{space 3} 1.277444
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8869887{col 29}{space 2} .1480356{col 40}{space 1}   -0.72{col 49}{space 3}0.472{col 57}{space 4} .6395216{col 70}{space 3} 1.230215
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6796496{col 29}{space 2}  .213093{col 40}{space 1}   -1.23{col 49}{space 3}0.218{col 57}{space 4} .3676248{col 70}{space 3} 1.256508
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.159769{col 29}{space 2} .5024652{col 40}{space 1}    0.34{col 49}{space 3}0.732{col 57}{space 4} .4961259{col 70}{space 3} 2.711135
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.23913{col 29}{space 2} .6230579{col 40}{space 1}    0.43{col 49}{space 3}0.670{col 57}{space 4} .4625054{col 70}{space 3} 3.319839
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7831956{col 29}{space 2} .1359939{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4} .5572728{col 70}{space 3} 1.100709
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 2.448927{col 29}{space 2} 1.269172{col 40}{space 1}    1.73{col 49}{space 3}0.084{col 57}{space 4}   .88682{col 70}{space 3} 6.762641
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .9600359{col 29}{space 2} .4448493{col 40}{space 1}   -0.09{col 49}{space 3}0.930{col 57}{space 4} .3871404{col 70}{space 3}  2.38071
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9515648{col 29}{space 2} .3599487{col 40}{space 1}   -0.13{col 49}{space 3}0.896{col 57}{space 4} .4533714{col 70}{space 3} 1.997205
{txt}{space 12}17  {c |}{col 17}{res}{space 2} 1.006191{col 29}{space 2}  .152095{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4} .7481932{col 70}{space 3} 1.353155
{txt}{space 12}18  {c |}{col 17}{res}{space 2} 1.467642{col 29}{space 2} .5889403{col 40}{space 1}    0.96{col 49}{space 3}0.339{col 57}{space 4} .6684163{col 70}{space 3} 3.222502
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .6206982{col 29}{space 2} .1253633{col 40}{space 1}   -2.36{col 49}{space 3}0.018{col 57}{space 4} .4177939{col 70}{space 3} .9221443
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8100211{col 29}{space 2} .0913516{col 40}{space 1}   -1.87{col 49}{space 3}0.062{col 57}{space 4} .6493824{col 70}{space 3} 1.010397
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}3  {c |}{col 17}{res}{space 2} .8386445{col 29}{space 2} .1991881{col 40}{space 1}   -0.74{col 49}{space 3}0.459{col 57}{space 4} .5265109{col 70}{space 3} 1.335821
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3959726{col 29}{space 2} .2175261{col 40}{space 1}   -1.69{col 49}{space 3}0.092{col 57}{space 4} .1349151{col 70}{space 3}  1.16217
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.7163319      -.7163319
{txt}10%    {res}-.5473055      -.7163319       {txt}Obs         {res}      2,015
{txt}25%    {res}-.4707167      -.7163319       {txt}Sum of wgt. {res}      2,015

{txt}50%    {res}-.4395913                      {txt}Mean          {res}-.3946222
                        {txt}Largest       Std. dev.     {res} .2036099
{txt}75%    {res}-.3517167       .6940686
{txt}90%    {res}-.1827927       .6940686       {txt}Variance      {res}  .041457
{txt}95%    {res}-.1781058       .6940686       {txt}Skewness      {res} 2.530898
{txt}99%    {res} .6940686       .6940686       {txt}Kurtosis      {res} 14.31654
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res}-.0833319       -.411764       {txt}Obs         {res}      2,608
{txt}25%    {res} .1178486      -.3632139       {txt}Sum of wgt. {res}      2,608

{txt}50%    {res} .2786681                      {txt}Mean          {res} .2349302
                        {txt}Largest       Std. dev.     {res} .1904258
{txt}75%    {res} .3532453       .5462024
{txt}90%    {res} .4464087       .5462024       {txt}Variance      {res}  .036262
{txt}95%    {res} .5136945       .5462024       {txt}Skewness      {res}-.9743068
{txt}99%    {res} .5136945       .5462024       {txt}Kurtosis      {res}  3.68354
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.104943{col 26}{space 2} .2727286{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4} 1.632878{col 67}{space 3} 2.713482
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC18= r(table)
{txt}
{com}. mat list modelC18
{res}
{txt}modelC18[9,1]
               (1)
     b {res} 2.1049434
{txt}    se {res} .27272861
{txt}     z {res} 5.7444846
{txt}pvalue {res} 9.220e-09
{txt}    ll {res} 1.6328784
{txt}    ul {res} 2.7134824
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. *
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
. 
. 
. * "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C19: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if preshighcomdelay==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-6555.0776
{txt}Iteration 1:  Log pseudolikelihood = {res}-6551.7273
{txt}Iteration 2:  Log pseudolikelihood = {res}-6551.7273

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-6551.7273}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-6218.6345}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-5925.0502}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-5916.3471}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-5916.2982}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-5916.2982}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:4,623}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:4,623}
{txt}No. of failures = {res}{ralign 7:3,416}
{txt}Time at risk    = {res}{ralign 7:411,091}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-5916.2982{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .0798858{col 29}{space 2} .0503621{col 40}{space 1}   -4.01{col 49}{space 3}0.000{col 57}{space 4} .0232194{col 70}{space 3} .2748458
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .0923779{col 29}{space 2} .0613397{col 40}{space 1}   -3.59{col 49}{space 3}0.000{col 57}{space 4} .0251398{col 70}{space 3} .3394481
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 29.60702{col 29}{space 2} 35.12561{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} 2.894235{col 70}{space 3} 302.8696
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 2.420853{col 29}{space 2} 1.737193{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4} .5931304{col 70}{space 3} 9.880679
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.005988{col 29}{space 2} .0158758{col 40}{space 1}    0.38{col 49}{space 3}0.705{col 57}{space 4}  .975348{col 70}{space 3}  1.03759
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9887317{col 29}{space 2} .0062367{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4} .9765833{col 70}{space 3} 1.001031
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.120634{col 29}{space 2} .2298096{col 40}{space 1}    0.56{col 49}{space 3}0.579{col 57}{space 4} .7497338{col 70}{space 3} 1.675022
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} .9946579{col 29}{space 2} .0032258{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4} .9883555{col 70}{space 3}    1.001
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 1.869579{col 29}{space 2} .1915472{col 40}{space 1}    6.11{col 49}{space 3}0.000{col 57}{space 4} 1.529446{col 70}{space 3} 2.285353
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .5325681{col 29}{space 2} .0549056{col 40}{space 1}   -6.11{col 49}{space 3}0.000{col 57}{space 4} .4351307{col 70}{space 3} .6518243
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} 1.606068{col 29}{space 2} .3121256{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 1.097337{col 70}{space 3} 2.350648
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  .999636{col 29}{space 2} .0000817{col 40}{space 1}   -4.46{col 49}{space 3}0.000{col 57}{space 4} .9994758{col 70}{space 3} .9997961
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0011354{col 29}{space 2} .0028743{col 40}{space 1}   -2.68{col 49}{space 3}0.007{col 57}{space 4} 7.95e-06{col 70}{space 3}  .162178
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.004395{col 29}{space 2} .0015218{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.001417{col 70}{space 3} 1.007382
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.063016{col 29}{space 2} .0457491{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4} .9770266{col 70}{space 3} 1.156573
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} 1.142658{col 29}{space 2} .0827459{col 40}{space 1}    1.84{col 49}{space 3}0.066{col 57}{space 4} .9914623{col 70}{space 3}  1.31691
{txt}{space 9}denied {c |}{col 17}{res}{space 2}   .59688{col 29}{space 2} .0717527{col 40}{space 1}   -4.29{col 49}{space 3}0.000{col 57}{space 4} .4715867{col 70}{space 3} .7554617
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9756793{col 29}{space 2} .0392962{col 40}{space 1}   -0.61{col 49}{space 3}0.541{col 57}{space 4} .9016217{col 70}{space 3}  1.05582
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8047043{col 29}{space 2} .1318187{col 40}{space 1}   -1.33{col 49}{space 3}0.185{col 57}{space 4}  .583715{col 70}{space 3} 1.109358
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8400286{col 29}{space 2} .0860966{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .6871512{col 70}{space 3} 1.026918
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.030069{col 29}{space 2} .2434769{col 40}{space 1}    0.13{col 49}{space 3}0.900{col 57}{space 4}  .648139{col 70}{space 3} 1.637059
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2}  .960794{col 29}{space 2} .0654484{col 40}{space 1}   -0.59{col 49}{space 3}0.557{col 57}{space 4}  .840712{col 70}{space 3} 1.098028
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.041125{col 29}{space 2} .1223122{col 40}{space 1}    0.34{col 49}{space 3}0.732{col 57}{space 4} .8269957{col 70}{space 3} 1.310699
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .8504112{col 29}{space 2} .0934347{col 40}{space 1}   -1.47{col 49}{space 3}0.140{col 57}{space 4} .6856578{col 70}{space 3} 1.054752
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9219123{col 29}{space 2} .0550398{col 40}{space 1}   -1.36{col 49}{space 3}0.173{col 57}{space 4} .8201086{col 70}{space 3} 1.036353
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .5730084{col 29}{space 2} .0456292{col 40}{space 1}   -6.99{col 49}{space 3}0.000{col 57}{space 4} .4902064{col 70}{space 3} .6697967
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.393963{col 29}{space 2} .1297647{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.161482{col 70}{space 3} 1.672977
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.380865{col 29}{space 2} .3407966{col 40}{space 1}    1.31{col 49}{space 3}0.191{col 57}{space 4} .8512858{col 70}{space 3} 2.239893
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .6880322{col 29}{space 2} .0487825{col 40}{space 1}   -5.27{col 49}{space 3}0.000{col 57}{space 4} .5987662{col 70}{space 3} .7906062
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.528574{col 29}{space 2} 1.137531{col 40}{space 1}    3.91{col 49}{space 3}0.000{col 57}{space 4} 1.875822{col 70}{space 3} 6.637537
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.213891{col 29}{space 2} .2314758{col 40}{space 1}    1.02{col 49}{space 3}0.309{col 57}{space 4} .8353428{col 70}{space 3} 1.763983
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.930279{col 29}{space 2} .3412174{col 40}{space 1}    3.72{col 49}{space 3}0.000{col 57}{space 4} 1.365062{col 70}{space 3}  2.72953
{txt}{space 13}7  {c |}{col 17}{res}{space 2}  1.02198{col 29}{space 2} .0907553{col 40}{space 1}    0.24{col 49}{space 3}0.807{col 57}{space 4} .8587228{col 70}{space 3} 1.216276
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .7983591{col 29}{space 2} .2768209{col 40}{space 1}   -0.65{col 49}{space 3}0.516{col 57}{space 4} .4046271{col 70}{space 3} 1.575221
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9291924{col 29}{space 2} .1326593{col 40}{space 1}   -0.51{col 49}{space 3}0.607{col 57}{space 4} .7023942{col 70}{space 3} 1.229222
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6173714{col 29}{space 2} .1817975{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4} .3466514{col 70}{space 3} 1.099512
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.610156{col 29}{space 2} .7552689{col 40}{space 1}    1.02{col 49}{space 3}0.310{col 57}{space 4} .6420942{col 70}{space 3} 4.037731
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  .775394{col 29}{space 2}  .310243{col 40}{space 1}   -0.64{col 49}{space 3}0.525{col 57}{space 4}  .353955{col 70}{space 3} 1.698622
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6663834{col 29}{space 2} .1488988{col 40}{space 1}   -1.82{col 49}{space 3}0.069{col 57}{space 4} .4300599{col 70}{space 3}  1.03257
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 2.273364{col 29}{space 2} 1.318234{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4} .7296103{col 70}{space 3} 7.083488
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.263829{col 29}{space 2} .5988618{col 40}{space 1}    0.49{col 49}{space 3}0.621{col 57}{space 4} .4992853{col 70}{space 3}   3.1991
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.110444{col 29}{space 2} .3376789{col 40}{space 1}    0.34{col 49}{space 3}0.730{col 57}{space 4} .6118595{col 70}{space 3} 2.015309
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .8509438{col 29}{space 2} .1481943{col 40}{space 1}   -0.93{col 49}{space 3}0.354{col 57}{space 4} .6048696{col 70}{space 3} 1.197126
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .8757899{col 29}{space 2} .4233063{col 40}{space 1}   -0.27{col 49}{space 3}0.784{col 57}{space 4} .3396082{col 70}{space 3} 2.258508
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .3870835{col 29}{space 2} .0891835{col 40}{space 1}   -4.12{col 49}{space 3}0.000{col 57}{space 4} .2464275{col 70}{space 3} .6080234
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .7359723{col 29}{space 2} .0815622{col 40}{space 1}   -2.77{col 49}{space 3}0.006{col 57}{space 4}  .592283{col 70}{space 3} .9145211
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}3  {c |}{col 17}{res}{space 2} .8518089{col 29}{space 2} .2506581{col 40}{space 1}   -0.55{col 49}{space 3}0.586{col 57}{space 4}  .478479{col 70}{space 3} 1.516427
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .4275303{col 29}{space 2}   .33879{col 40}{space 1}   -1.07{col 49}{space 3}0.284{col 57}{space 4} .0904576{col 70}{space 3}  2.02064
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 6.255685{col 29}{space 2} 10.90289{col 40}{space 1}    1.05{col 49}{space 3}0.293{col 57}{space 4} .2054638{col 70}{space 3} 190.4646
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1108637{col 29}{space 2} .0222691{col 40}{space 1}    4.98{col 49}{space 3}0.000{col 57}{space 4} .0672171{col 70}{space 3} .1545103
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.117243{col 29}{space 2} .0248799{col 57}{space 4} 1.069528{col 70}{space 3} 1.167086
{txt}            1/p {c |}{col 17}{res}{space 2} .8950607{col 29}{space 2} .0199322{col 57}{space 4} .8568347{col 70}{space 3} .9349921
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.5386078      -.5386078
{txt}10%    {res}-.4976805      -.5386078       {txt}Obs         {res}      2,015
{txt}25%    {res} -.412061      -.5386078       {txt}Sum of wgt. {res}      2,015

{txt}50%    {res}-.3518783                      {txt}Mean          {res}-.2961559
                        {txt}Largest       Std. dev.     {res} .1809537
{txt}75%    {res}-.1720448       .4655938
{txt}90%    {res} -.115061        .490939       {txt}Variance      {res} .0327442
{txt}95%    {res}-.0025696        .490939       {txt}Skewness      {res} 1.439684
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 6.464386
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0977183      -.2201461       {txt}Obs         {res}      2,608
{txt}25%    {res} .0419552      -.1966079       {txt}Sum of wgt. {res}      2,608

{txt}50%    {res} .1003195                      {txt}Mean          {res} .0992734
                        {txt}Largest       Std. dev.     {res} .1409726
{txt}75%    {res} .2273195       .3125807
{txt}90%    {res} .2363921       .3125807       {txt}Variance      {res} .0198733
{txt}95%    {res} .2885807       .3125807       {txt}Skewness      {res}-.7237431
{txt}99%    {res} .3125807       .3125807       {txt}Kurtosis      {res}  2.70818
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.269416{col 26}{space 2} .6512676{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 1.293123{col 67}{space 3}   3.9828
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC19 = r(table)
{txt}
{com}. mat list modelC19
{res}
{txt}modelC19[9,1]
               (1)
     b {res} 2.2694164
{txt}    se {res} .65126762
{txt}     z {res} 2.8557205
{txt}pvalue {res} .00429393
{txt}    ll {res} 1.2931233
{txt}    ul {res} 3.9827995
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C20: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev  if preshighcomdelay==0, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-6555.0776
{txt}Iteration 1:  Log pseudolikelihood = {res}-6551.7273
{txt}Iteration 2:  Log pseudolikelihood = {res}-6551.7273

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-6551.7273}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-6203.4341}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-5904.1763}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-5895.0471}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-5894.9947}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-5894.9947}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:4,623}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:4,623}
{txt}No. of failures = {res}{ralign 7:3,416}
{txt}Time at risk    = {res}{ralign 7:411,091}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-5894.9947{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .0522894{col 29}{space 2} .0250964{col 40}{space 1}   -6.15{col 49}{space 3}0.000{col 57}{space 4} .0204116{col 70}{space 3} .1339522
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1376078{col 29}{space 2} .0533391{col 40}{space 1}   -5.12{col 49}{space 3}0.000{col 57}{space 4} .0643729{col 70}{space 3} .2941598
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2}   22.466{col 29}{space 2} 15.63544{col 40}{space 1}    4.47{col 49}{space 3}0.000{col 57}{space 4} 5.742794{col 70}{space 3} 87.88771
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 5.983641{col 29}{space 2} 3.733968{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} 1.761127{col 70}{space 3} 20.33014
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.005082{col 29}{space 2} .0063857{col 40}{space 1}    0.80{col 49}{space 3}0.425{col 57}{space 4} .9926437{col 70}{space 3} 1.017676
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9907742{col 29}{space 2} .0068053{col 40}{space 1}   -1.35{col 49}{space 3}0.177{col 57}{space 4} .9775253{col 70}{space 3} 1.004203
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.201913{col 29}{space 2} .2537166{col 40}{space 1}    0.87{col 49}{space 3}0.384{col 57}{space 4} .7946748{col 70}{space 3} 1.817844
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} .9966631{col 29}{space 2} .0033399{col 40}{space 1}   -1.00{col 49}{space 3}0.319{col 57}{space 4} .9901385{col 70}{space 3} 1.003231
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 1.915871{col 29}{space 2} .1686172{col 40}{space 1}    7.39{col 49}{space 3}0.000{col 57}{space 4}  1.61232{col 70}{space 3}  2.27657
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}  .543609{col 29}{space 2}  .058868{col 40}{space 1}   -5.63{col 49}{space 3}0.000{col 57}{space 4}  .439652{col 70}{space 3} .6721469
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} 1.396391{col 29}{space 2} .2301566{col 40}{space 1}    2.03{col 49}{space 3}0.043{col 57}{space 4} 1.010904{col 70}{space 3} 1.928875
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9996388{col 29}{space 2} .0000793{col 40}{space 1}   -4.55{col 49}{space 3}0.000{col 57}{space 4} .9994833{col 70}{space 3} .9997942
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0223067{col 29}{space 2} .0491012{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4} .0002984{col 70}{space 3} 1.667577
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.004315{col 29}{space 2} .0014718{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} 1.001434{col 70}{space 3} 1.007204
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.060166{col 29}{space 2} .0474746{col 40}{space 1}    1.30{col 49}{space 3}0.192{col 57}{space 4} .9710837{col 70}{space 3}  1.15742
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} 1.133096{col 29}{space 2} .0829693{col 40}{space 1}    1.71{col 49}{space 3}0.088{col 57}{space 4} .9816094{col 70}{space 3}  1.30796
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6028444{col 29}{space 2} .0739133{col 40}{space 1}   -4.13{col 49}{space 3}0.000{col 57}{space 4} .4740689{col 70}{space 3} .7666004
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9670907{col 29}{space 2} .0382491{col 40}{space 1}   -0.85{col 49}{space 3}0.398{col 57}{space 4} .8949558{col 70}{space 3}  1.04504
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7844763{col 29}{space 2} .1277271{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4} .5701494{col 70}{space 3} 1.079372
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8375115{col 29}{space 2} .0845282{col 40}{space 1}   -1.76{col 49}{space 3}0.079{col 57}{space 4} .6871963{col 70}{space 3} 1.020706
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.016873{col 29}{space 2} .2376129{col 40}{space 1}    0.07{col 49}{space 3}0.943{col 57}{space 4}   .64323{col 70}{space 3}  1.60756
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9617999{col 29}{space 2}  .073152{col 40}{space 1}   -0.51{col 49}{space 3}0.609{col 57}{space 4} .8285992{col 70}{space 3} 1.116413
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.033034{col 29}{space 2} .1184234{col 40}{space 1}    0.28{col 49}{space 3}0.777{col 57}{space 4} .8251554{col 70}{space 3} 1.293282
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .8391077{col 29}{space 2} .0951398{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} .6719031{col 70}{space 3} 1.047922
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9209346{col 29}{space 2} .0542396{col 40}{space 1}   -1.40{col 49}{space 3}0.162{col 57}{space 4} .8205332{col 70}{space 3} 1.033621
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .5614855{col 29}{space 2} .0412208{col 40}{space 1}   -7.86{col 49}{space 3}0.000{col 57}{space 4} .4862376{col 70}{space 3} .6483783
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.393201{col 29}{space 2} .1273687{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} 1.164651{col 70}{space 3} 1.666603
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.417743{col 29}{space 2} .3427931{col 40}{space 1}    1.44{col 49}{space 3}0.149{col 57}{space 4} .8826475{col 70}{space 3} 2.277235
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .6905725{col 29}{space 2} .0653513{col 40}{space 1}   -3.91{col 49}{space 3}0.000{col 57}{space 4} .5736634{col 70}{space 3} .8313071
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 6.060281{col 29}{space 2}   2.0683{col 40}{space 1}    5.28{col 49}{space 3}0.000{col 57}{space 4} 3.104475{col 70}{space 3} 11.83035
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.087899{col 29}{space 2} .2313516{col 40}{space 1}    0.40{col 49}{space 3}0.692{col 57}{space 4} .7170886{col 70}{space 3} 1.650457
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  1.87356{col 29}{space 2} .3739627{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} 1.266974{col 70}{space 3} 2.770559
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.199147{col 29}{space 2} .1552549{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4} .9303928{col 70}{space 3} 1.545533
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .6820084{col 29}{space 2} .2521767{col 40}{space 1}   -1.04{col 49}{space 3}0.301{col 57}{space 4} .3304098{col 70}{space 3} 1.407753
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9153587{col 29}{space 2} .1593335{col 40}{space 1}   -0.51{col 49}{space 3}0.611{col 57}{space 4} .6507668{col 70}{space 3} 1.287529
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .5898991{col 29}{space 2} .1960658{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} .3075122{col 70}{space 3}   1.1316
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.194802{col 29}{space 2} .5600579{col 40}{space 1}    0.38{col 49}{space 3}0.704{col 57}{space 4} .4767594{col 70}{space 3} 2.994282
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.236081{col 29}{space 2} .6871398{col 40}{space 1}    0.38{col 49}{space 3}0.703{col 57}{space 4} .4157789{col 70}{space 3} 3.674781
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7645246{col 29}{space 2} .1542456{col 40}{space 1}   -1.33{col 49}{space 3}0.183{col 57}{space 4} .5148237{col 70}{space 3} 1.135336
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 2.185222{col 29}{space 2} 1.373471{col 40}{space 1}    1.24{col 49}{space 3}0.214{col 57}{space 4} .6375178{col 70}{space 3} 7.490292
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .9892797{col 29}{space 2}   .47396{col 40}{space 1}   -0.02{col 49}{space 3}0.982{col 57}{space 4} .3868226{col 70}{space 3} 2.530034
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9845789{col 29}{space 2} .3840793{col 40}{space 1}   -0.04{col 49}{space 3}0.968{col 57}{space 4} .4583541{col 70}{space 3} 2.114949
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .9791524{col 29}{space 2} .1759022{col 40}{space 1}   -0.12{col 49}{space 3}0.907{col 57}{space 4} .6885479{col 70}{space 3} 1.392408
{txt}{space 12}18  {c |}{col 17}{res}{space 2} 1.052697{col 29}{space 2} .5011482{col 40}{space 1}    0.11{col 49}{space 3}0.914{col 57}{space 4} .4140756{col 70}{space 3} 2.676255
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .6447638{col 29}{space 2} .1382373{col 40}{space 1}   -2.05{col 49}{space 3}0.041{col 57}{space 4} .4235485{col 70}{space 3} .9815178
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8203545{col 29}{space 2} .0937955{col 40}{space 1}   -1.73{col 49}{space 3}0.083{col 57}{space 4} .6556608{col 70}{space 3} 1.026417
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}3  {c |}{col 17}{res}{space 2} .7577111{col 29}{space 2} .2122168{col 40}{space 1}   -0.99{col 49}{space 3}0.322{col 57}{space 4} .4376253{col 70}{space 3} 1.311913
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3389377{col 29}{space 2} .2158803{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .0972663{col 70}{space 3} 1.181075
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .2703082{col 29}{space 2} .4356835{col 40}{space 1}   -0.81{col 49}{space 3}0.417{col 57}{space 4} .0114786{col 70}{space 3} 6.365435
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1129672{col 29}{space 2} .0217714{col 40}{space 1}    5.19{col 49}{space 3}0.000{col 57}{space 4}  .070296{col 70}{space 3} .1556384
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.119595{col 29}{space 2} .0243752{col 57}{space 4} 1.072826{col 70}{space 3} 1.168404
{txt}            1/p {c |}{col 17}{res}{space 2}   .89318{col 29}{space 2} .0194458{col 57}{space 4} .8558686{col 70}{space 3} .9321179
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.7163319      -.7163319
{txt}10%    {res}-.5473055      -.7163319       {txt}Obs         {res}      2,015
{txt}25%    {res}-.4707167      -.7163319       {txt}Sum of wgt. {res}      2,015

{txt}50%    {res}-.4395913                      {txt}Mean          {res}-.3946222
                        {txt}Largest       Std. dev.     {res} .2036099
{txt}75%    {res}-.3517167       .6940686
{txt}90%    {res}-.1827927       .6940686       {txt}Variance      {res}  .041457
{txt}95%    {res}-.1781058       .6940686       {txt}Skewness      {res} 2.530898
{txt}99%    {res} .6940686       .6940686       {txt}Kurtosis      {res} 14.31654
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res}-.0833319       -.411764       {txt}Obs         {res}      2,608
{txt}25%    {res} .1178486      -.3632139       {txt}Sum of wgt. {res}      2,608

{txt}50%    {res} .2786681                      {txt}Mean          {res} .2349302
                        {txt}Largest       Std. dev.     {res} .1904258
{txt}75%    {res} .3532453       .5462024
{txt}90%    {res} .4464087       .5462024       {txt}Variance      {res}  .036262
{txt}95%    {res} .5136945       .5462024       {txt}Skewness      {res}-.9743068
{txt}99%    {res} .5136945       .5462024       {txt}Kurtosis      {res}  3.68354
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.080636{col 26}{space 2} .3409188{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} 1.509121{col 67}{space 3} 2.868588
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC20= r(table)
{txt}
{com}. mat list modelC20
{res}
{txt}modelC20[9,1]
               (1)
     b {res} 2.0806357
{txt}    se {res} .34091882
{txt}     z {res} 4.4715238
{txt}pvalue {res} 7.766e-06
{txt}    ll {res} 1.5091206
{txt}    ul {res} 2.8685878
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. *
. * 
.  
.  
.  
.  
. **** CREATE FIGURE C5 BASED ON MODELS C17-C20 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
.  
. **** FIGURE C5 ****
. 
. matrix G = J(4, 3, .)
{txt}
{com}. matrix coln G = Point ll95 ul95
{txt}
{com}. matrix rown G = 1 2 3 4
{txt}
{com}. 
. matrix G[1,1] = modelC17[1,1]
{txt}
{com}. matrix G[1,2] = modelC17[5,1]
{txt}
{com}. matrix G[1,3] = modelC17[6,1]
{txt}
{com}. 
. matrix G[2,1] = modelC18[1,1]
{txt}
{com}. matrix G[2,2] = modelC18[5,1]
{txt}
{com}. matrix G[2,3] = modelC18[6,1]
{txt}
{com}. 
. matrix G[3,1] = modelC19[1,1]
{txt}
{com}. matrix G[3,2] = modelC19[5,1]
{txt}
{com}. matrix G[3,3] = modelC19[6,1]
{txt}
{com}. 
. matrix G[4,1] = modelC20[1,1]
{txt}
{com}. matrix G[4,2] = modelC20[5,1]
{txt}
{com}. matrix G[4,3] = modelC20[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(G[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C17" 2 "Model C18" 3 "Model C19" 4 "Model C20", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)4, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C5", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Only 'Low Committee Delay' Presidential Administrations)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}.  
.  
. 
. 
. *graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC5.gph", replace
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC5.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC5.gph} saved

{com}. 
.  
. 
. 
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. 
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. 
. 
. * "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C21: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev   if preshighcomdelay==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-28637.667
{txt}Iteration 1:  Log pseudolikelihood = {res}-28372.387
{txt}Iteration 2:  Log pseudolikelihood = {res}-28149.832
{txt}Iteration 3:  Log pseudolikelihood = {res} -28139.14
{txt}Iteration 4:  Log pseudolikelihood = {res}-28138.797
{txt}Iteration 5:  Log pseudolikelihood = {res}-28138.777
{txt}Iteration 6:  Log pseudolikelihood = {res}-28138.777
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-28138.777

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:5,256}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:5,256}
{txt}No. of failures = {res}{ralign 7:3,660}
{txt}Time at risk    = {res}{ralign 7:576,720}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:1.21e+07}
{txt}Log pseudolikelihood = {res}-28138.777{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .9086827{col 29}{space 2} .4311624{col 40}{space 1}   -0.20{col 49}{space 3}0.840{col 57}{space 4} .3585289{col 70}{space 3} 2.303034
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .4449698{col 29}{space 2} .3818067{col 40}{space 1}   -0.94{col 49}{space 3}0.345{col 57}{space 4} .0827859{col 70}{space 3}  2.39169
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.788356{col 29}{space 2} 2.407286{col 40}{space 1}    1.19{col 49}{space 3}0.235{col 57}{space 4} .5134237{col 70}{space 3}  15.1433
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .4056717{col 29}{space 2} .3967761{col 40}{space 1}   -0.92{col 49}{space 3}0.356{col 57}{space 4} .0596538{col 70}{space 3} 2.758742
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9825729{col 29}{space 2}  .025632{col 40}{space 1}   -0.67{col 49}{space 3}0.500{col 57}{space 4} .9335979{col 70}{space 3} 1.034117
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9893712{col 29}{space 2} .0033635{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4} .9828008{col 70}{space 3} .9959855
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7040274{col 29}{space 2} .1156257{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4} .5102615{col 70}{space 3} .9713736
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002553{col 29}{space 2} .0042831{col 40}{space 1}    0.60{col 49}{space 3}0.551{col 57}{space 4} .9941935{col 70}{space 3} 1.010983
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 3.427561{col 29}{space 2} .4673741{col 40}{space 1}    9.03{col 49}{space 3}0.000{col 57}{space 4} 2.623719{col 70}{space 3} 4.477679
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8216487{col 29}{space 2} .0704108{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4} .6946128{col 70}{space 3} .9719178
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8726929{col 29}{space 2} .0733711{col 40}{space 1}   -1.62{col 49}{space 3}0.105{col 57}{space 4} .7401116{col 70}{space 3} 1.029024
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  1.00001{col 29}{space 2} .0000503{col 40}{space 1}    0.20{col 49}{space 3}0.843{col 57}{space 4} .9999113{col 70}{space 3} 1.000109
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0675376{col 29}{space 2} .1233781{col 40}{space 1}   -1.48{col 49}{space 3}0.140{col 57}{space 4} .0018818{col 70}{space 3}  2.42396
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001529{col 29}{space 2} .0012992{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4} .9989858{col 70}{space 3} 1.004079
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9691967{col 29}{space 2} .0545399{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} .8679846{col 70}{space 3} 1.082211
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .8683426{col 29}{space 2} .0511493{col 40}{space 1}   -2.40{col 49}{space 3}0.017{col 57}{space 4} .7736623{col 70}{space 3} .9746097
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .7026846{col 29}{space 2} .0699531{col 40}{space 1}   -3.54{col 49}{space 3}0.000{col 57}{space 4} .5781258{col 70}{space 3}   .85408
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9099963{col 29}{space 2} .0804221{col 40}{space 1}   -1.07{col 49}{space 3}0.286{col 57}{space 4}  .765268{col 70}{space 3} 1.082096
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .753334{col 29}{space 2} .1722458{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4} .4812434{col 70}{space 3} 1.179262
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7583402{col 29}{space 2} .1213833{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4} .5541368{col 70}{space 3} 1.037794
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8769866{col 29}{space 2} .1003049{col 40}{space 1}   -1.15{col 49}{space 3}0.251{col 57}{space 4} .7008696{col 70}{space 3} 1.097359
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9101327{col 29}{space 2} .1039275{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4} .7276231{col 70}{space 3} 1.138421
{txt}{space 9}social {c |}{col 17}{res}{space 2} .7732313{col 29}{space 2} .0597585{col 40}{space 1}   -3.33{col 49}{space 3}0.001{col 57}{space 4}  .664546{col 70}{space 3}  .899692
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.392233{col 29}{space 2} .1776456{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} 1.084178{col 70}{space 3} 1.787818
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.040263{col 29}{space 2}   .06037{col 40}{space 1}    0.68{col 49}{space 3}0.496{col 57}{space 4} .9284208{col 70}{space 3} 1.165577
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .9756588{col 29}{space 2} .0764847{col 40}{space 1}   -0.31{col 49}{space 3}0.753{col 57}{space 4} .8367002{col 70}{space 3} 1.137696
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.164772{col 29}{space 2} .0912811{col 40}{space 1}    1.95{col 49}{space 3}0.052{col 57}{space 4} .9989273{col 70}{space 3} 1.358151
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9856842{col 29}{space 2} .1663064{col 40}{space 1}   -0.09{col 49}{space 3}0.932{col 57}{space 4} .7081439{col 70}{space 3}    1.372
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.374377{col 29}{space 2} .1510816{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.107989{col 70}{space 3} 1.704811
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.072704{col 29}{space 2} .8520289{col 40}{space 1}    4.05{col 49}{space 3}0.000{col 57}{space 4} 1.784396{col 70}{space 3}  5.29115
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.737192{col 29}{space 2} .3385713{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} 1.185638{col 70}{space 3} 2.545326
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  1.51951{col 29}{space 2} .3047378{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4}  1.02564{col 70}{space 3}  2.25119
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.262119{col 29}{space 2} .1694019{col 40}{space 1}    1.73{col 49}{space 3}0.083{col 57}{space 4} .9701789{col 70}{space 3} 1.641908
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.494924{col 29}{space 2} .6843166{col 40}{space 1}    0.88{col 49}{space 3}0.380{col 57}{space 4} .6094987{col 70}{space 3} 3.666614
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.035391{col 29}{space 2} .1709441{col 40}{space 1}    0.21{col 49}{space 3}0.833{col 57}{space 4}  .749152{col 70}{space 3} 1.430996
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.158925{col 29}{space 2} .2974327{col 40}{space 1}    0.57{col 49}{space 3}0.565{col 57}{space 4} .7008066{col 70}{space 3} 1.916515
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.973674{col 29}{space 2} .6700351{col 40}{space 1}    2.00{col 49}{space 3}0.045{col 57}{space 4} 1.014622{col 70}{space 3} 3.839252
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.688211{col 29}{space 2} .5513264{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4} .8901154{col 70}{space 3} 3.201897
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6400229{col 29}{space 2} .1219425{col 40}{space 1}   -2.34{col 49}{space 3}0.019{col 57}{space 4} .4405726{col 70}{space 3} .9297657
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .8333425{col 29}{space 2} .3617137{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4} .3559246{col 70}{space 3} 1.951143
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 3.524437{col 29}{space 2} 1.542719{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} 1.494517{col 70}{space 3}  8.31148
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.358793{col 29}{space 2} .5115902{col 40}{space 1}    0.81{col 49}{space 3}0.415{col 57}{space 4} .6496401{col 70}{space 3} 2.842062
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .4368528{col 29}{space 2} .0768633{col 40}{space 1}   -4.71{col 49}{space 3}0.000{col 57}{space 4}  .309434{col 70}{space 3} .6167401
{txt}{space 12}18  {c |}{col 17}{res}{space 2} 8.737838{col 29}{space 2} 3.011197{col 40}{space 1}    6.29{col 49}{space 3}0.000{col 57}{space 4} 4.446994{col 70}{space 3} 17.16886
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4226429{col 29}{space 2} .1000188{col 40}{space 1}   -3.64{col 49}{space 3}0.000{col 57}{space 4} .2657884{col 70}{space 3} .6720648
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.068276{col 29}{space 2} .1005474{col 40}{space 1}    0.70{col 49}{space 3}0.483{col 57}{space 4} .8883155{col 70}{space 3} 1.284693
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}4  {c |}{col 17}{res}{space 2}  1.11436{col 29}{space 2} .4505924{col 40}{space 1}    0.27{col 49}{space 3}0.789{col 57}{space 4}  .504477{col 70}{space 3} 2.461555
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7904093{col 29}{space 2} .3920657{col 40}{space 1}   -0.47{col 49}{space 3}0.635{col 57}{space 4} .2989727{col 70}{space 3} 2.089645
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.4096805      -.4312148
{txt} 5%    {res}-.4026805      -.4312148
{txt}10%    {res} -.384061       -.412061       {txt}Obs         {res}      3,173
{txt}25%    {res} -.331061       -.412061       {txt}Sum of wgt. {res}      3,173

{txt}50%    {res}-.1503832                      {txt}Mean          {res}-.1142773
                        {txt}Largest       Std. dev.     {res} .2324487
{txt}75%    {res} .1149552        .490939
{txt}90%    {res}  .166939        .490939       {txt}Variance      {res} .0540324
{txt}95%    {res} .3246168        .490939       {txt}Skewness      {res} .4532961
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.031865
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.0184062      -.0184062
{txt} 5%    {res} .0905807      -.0184062
{txt}10%    {res} .2121217      -.0184062       {txt}Obs         {res}      2,083
{txt}25%    {res}  .256939      -.0184062       {txt}Sum of wgt. {res}      2,083

{txt}50%    {res} .3563195                      {txt}Mean          {res} .3443237
                        {txt}Largest       Std. dev.     {res}  .116136
{txt}75%    {res} .4655938        .490939
{txt}90%    {res}  .490939        .490939       {txt}Variance      {res} .0134876
{txt}95%    {res}  .490939        .490939       {txt}Skewness      {res}-.6764834
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 3.071356
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.281518{col 26}{space 2} .2676211{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}  .851074{col 67}{space 3} 1.929667
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC21 = r(table)
{txt}
{com}. mat list modelC21
{res}
{txt}modelC21[9,1]
               (1)
     b {res} 1.2815184
{txt}    se {res} .26762114
{txt}     z {res} 1.1877798
{txt}pvalue {res} .23492017
{txt}    ll {res} .85107398
{txt}    ul {res} 1.9296669
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C22: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev   if preshighcomdelay==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-28637.667
{txt}Iteration 1:  Log pseudolikelihood = {res} -28359.02
{txt}Iteration 2:  Log pseudolikelihood = {res}-28122.491
{txt}Iteration 3:  Log pseudolikelihood = {res}-28110.031
{txt}Iteration 4:  Log pseudolikelihood = {res}-28109.681
{txt}Iteration 5:  Log pseudolikelihood = {res}-28109.662
{txt}Iteration 6:  Log pseudolikelihood = {res}-28109.662
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-28109.662

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:5,256}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:5,256}
{txt}No. of failures = {res}{ralign 7:3,660}
{txt}Time at risk    = {res}{ralign 7:576,720}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:1.35e+07}
{txt}Log pseudolikelihood = {res}-28109.662{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.722307{col 29}{space 2} .5934449{col 40}{space 1}    1.58{col 49}{space 3}0.115{col 57}{space 4} .8766321{col 70}{space 3} 3.383794
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1406824{col 29}{space 2} .1231565{col 40}{space 1}   -2.24{col 49}{space 3}0.025{col 57}{space 4} .0252976{col 70}{space 3} .7823486
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 5.688685{col 29}{space 2} 4.600668{col 40}{space 1}    2.15{col 49}{space 3}0.032{col 57}{space 4} 1.165765{col 70}{space 3} 27.75958
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2}  .318739{col 29}{space 2} .3245685{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4} .0433178{col 70}{space 3} 2.345333
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} .9910228{col 29}{space 2} .0040613{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4} .9830947{col 70}{space 3} .9990149
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9903538{col 29}{space 2} .0031424{col 40}{space 1}   -3.05{col 49}{space 3}0.002{col 57}{space 4} .9842138{col 70}{space 3}  .996532
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .6856194{col 29}{space 2}  .087096{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4} .5345063{col 70}{space 3} .8794544
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003624{col 29}{space 2}  .004028{col 40}{space 1}    0.90{col 49}{space 3}0.367{col 57}{space 4} .9957599{col 70}{space 3}  1.01155
{txt}{space 8}first90 {c |}{col 17}{res}{space 2}   3.2733{col 29}{space 2} .4276644{col 40}{space 1}    9.08{col 49}{space 3}0.000{col 57}{space 4} 2.533811{col 70}{space 3} 4.228606
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8172206{col 29}{space 2} .0652702{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4} .6988036{col 70}{space 3} .9557042
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8999429{col 29}{space 2} .0593677{col 40}{space 1}   -1.60{col 49}{space 3}0.110{col 57}{space 4} .7907927{col 70}{space 3} 1.024159
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  1.00003{col 29}{space 2} .0000496{col 40}{space 1}    0.60{col 49}{space 3}0.552{col 57}{space 4} .9999323{col 70}{space 3} 1.000127
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0947719{col 29}{space 2} .1752822{col 40}{space 1}   -1.27{col 49}{space 3}0.203{col 57}{space 4} .0025256{col 70}{space 3} 3.556244
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001274{col 29}{space 2} .0012291{col 40}{space 1}    1.04{col 49}{space 3}0.300{col 57}{space 4} .9988676{col 70}{space 3} 1.003685
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9643475{col 29}{space 2} .0560591{col 40}{space 1}   -0.62{col 49}{space 3}0.532{col 57}{space 4} .8605019{col 70}{space 3} 1.080725
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .8639843{col 29}{space 2} .0456045{col 40}{space 1}   -2.77{col 49}{space 3}0.006{col 57}{space 4} .7790693{col 70}{space 3} .9581546
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6889902{col 29}{space 2} .0696515{col 40}{space 1}   -3.69{col 49}{space 3}0.000{col 57}{space 4} .5651493{col 70}{space 3} .8399682
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9253009{col 29}{space 2} .0815642{col 40}{space 1}   -0.88{col 49}{space 3}0.378{col 57}{space 4} .7784856{col 70}{space 3} 1.099804
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7498627{col 29}{space 2} .1635651{col 40}{space 1}   -1.32{col 49}{space 3}0.187{col 57}{space 4} .4890035{col 70}{space 3} 1.149877
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7775796{col 29}{space 2} .1216267{col 40}{space 1}   -1.61{col 49}{space 3}0.108{col 57}{space 4} .5722719{col 70}{space 3} 1.056543
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8841262{col 29}{space 2} .1115551{col 40}{space 1}   -0.98{col 49}{space 3}0.329{col 57}{space 4} .6904201{col 70}{space 3} 1.132179
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9051369{col 29}{space 2} .1096371{col 40}{space 1}   -0.82{col 49}{space 3}0.411{col 57}{space 4} .7138553{col 70}{space 3} 1.147673
{txt}{space 9}social {c |}{col 17}{res}{space 2} .7887217{col 29}{space 2} .0603881{col 40}{space 1}   -3.10{col 49}{space 3}0.002{col 57}{space 4} .6788158{col 70}{space 3} .9164223
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.356825{col 29}{space 2}  .173476{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} 1.056073{col 70}{space 3} 1.743226
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.022885{col 29}{space 2} .0631628{col 40}{space 1}    0.37{col 49}{space 3}0.714{col 57}{space 4} .9062866{col 70}{space 3} 1.154485
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .9835477{col 29}{space 2} .0783548{col 40}{space 1}   -0.21{col 49}{space 3}0.835{col 57}{space 4} .8413643{col 70}{space 3} 1.149759
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.182331{col 29}{space 2} .0919628{col 40}{space 1}    2.15{col 49}{space 3}0.031{col 57}{space 4} 1.015153{col 70}{space 3} 1.377039
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.23196{col 29}{space 2} .1957984{col 40}{space 1}    1.31{col 49}{space 3}0.189{col 57}{space 4} .9022214{col 70}{space 3}  1.68221
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.498649{col 29}{space 2} .1270995{col 40}{space 1}    4.77{col 49}{space 3}0.000{col 57}{space 4} 1.269142{col 70}{space 3}  1.76966
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.469421{col 29}{space 2} .7352897{col 40}{space 1}    5.87{col 49}{space 3}0.000{col 57}{space 4} 2.290119{col 70}{space 3} 5.256006
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 2.176365{col 29}{space 2} .3934365{col 40}{space 1}    4.30{col 49}{space 3}0.000{col 57}{space 4} 1.527053{col 70}{space 3} 3.101768
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 2.101711{col 29}{space 2} .3923191{col 40}{space 1}    3.98{col 49}{space 3}0.000{col 57}{space 4} 1.457747{col 70}{space 3} 3.030148
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.362956{col 29}{space 2} .1462338{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.104473{col 70}{space 3} 1.681933
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.983962{col 29}{space 2} .7500211{col 40}{space 1}    1.81{col 49}{space 3}0.070{col 57}{space 4} .9456782{col 70}{space 3} 4.162204
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.334287{col 29}{space 2} .1742539{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} 1.032963{col 70}{space 3} 1.723509
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.323683{col 29}{space 2} .3160049{col 40}{space 1}    1.17{col 49}{space 3}0.240{col 57}{space 4} .8290402{col 70}{space 3} 2.113454
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.352809{col 29}{space 2} .6624652{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} 1.354938{col 70}{space 3} 4.085582
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.784127{col 29}{space 2} .5559172{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4} .9687221{col 70}{space 3} 3.285883
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7946052{col 29}{space 2} .1267785{col 40}{space 1}   -1.44{col 49}{space 3}0.150{col 57}{space 4} .5812233{col 70}{space 3} 1.086325
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .8502288{col 29}{space 2} .2737335{col 40}{space 1}   -0.50{col 49}{space 3}0.614{col 57}{space 4} .4523651{col 70}{space 3} 1.598021
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 3.960542{col 29}{space 2} 1.499041{col 40}{space 1}    3.64{col 49}{space 3}0.000{col 57}{space 4} 1.886167{col 70}{space 3} 8.316283
{txt}{space 12}16  {c |}{col 17}{res}{space 2}  1.58573{col 29}{space 2} .4308991{col 40}{space 1}    1.70{col 49}{space 3}0.090{col 57}{space 4}  .930953{col 70}{space 3} 2.701039
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .4714113{col 29}{space 2} .0635813{col 40}{space 1}   -5.58{col 49}{space 3}0.000{col 57}{space 4} .3619051{col 70}{space 3} .6140522
{txt}{space 12}18  {c |}{col 17}{res}{space 2} 8.482084{col 29}{space 2} 2.667377{col 40}{space 1}    6.80{col 49}{space 3}0.000{col 57}{space 4} 4.579559{col 70}{space 3} 15.71019
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4229286{col 29}{space 2} .0770668{col 40}{space 1}   -4.72{col 49}{space 3}0.000{col 57}{space 4}   .29591{col 70}{space 3} .6044697
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.161082{col 29}{space 2} .0919959{col 40}{space 1}    1.88{col 49}{space 3}0.059{col 57}{space 4} .9940763{col 70}{space 3} 1.356145
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}4  {c |}{col 17}{res}{space 2} 1.153325{col 29}{space 2} .4118541{col 40}{space 1}    0.40{col 49}{space 3}0.690{col 57}{space 4} .5727776{col 70}{space 3} 2.322293
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  1.00722{col 29}{space 2} .4276159{col 40}{space 1}    0.02{col 49}{space 3}0.986{col 57}{space 4} .4382748{col 70}{space 3} 2.314742
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5493055      -.5493055
{txt} 5%    {res}-.5463055      -.5493055
{txt}10%    {res}-.4852139      -.5493055       {txt}Obs         {res}      3,173
{txt}25%    {res}-.4387927      -.5493055       {txt}Sum of wgt. {res}      3,173

{txt}50%    {res}-.3046792                      {txt}Mean          {res}-.2576272
                        {txt}Largest       Std. dev.     {res} .2632531
{txt}75%    {res}-.1663055       .6940686
{txt}90%    {res}-.0227167       .6940686       {txt}Variance      {res} .0693022
{txt}95%    {res} .4516945       .6940686       {txt}Skewness      {res} 1.618625
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 5.673665
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res} .1968486       -.218764
{txt} 5%    {res} .2277861       -.218764
{txt}10%    {res} .2674087       -.218764       {txt}Obs         {res}      2,083
{txt}25%    {res} .4136681       -.218764       {txt}Sum of wgt. {res}      2,083

{txt}50%    {res} .4892833                      {txt}Mean          {res} .4915223
                        {txt}Largest       Std. dev.     {res}  .149499
{txt}75%    {res} .5828941       .7534087
{txt}90%    {res} .6940686       .7534087       {txt}Variance      {res}   .02235
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6113941
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 4.123133
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.505761{col 26}{space 2} .2867052{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4}  1.03677{col 67}{space 3} 2.186903
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC22= r(table)
{txt}
{com}. mat list modelC22
{res}
{txt}modelC22[9,1]
               (1)
     b {res} 1.5057608
{txt}    se {res} .28670518
{txt}     z {res} 2.1496135
{txt}pvalue {res}  .0315858
{txt}    ll {res} 1.0367702
{txt}    ul {res} 2.1869027
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. *********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
. 
. 
. * "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C23: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if preshighcomdelay==1, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-7495.3973
{txt}Iteration 1:  Log pseudolikelihood = {res} -7479.331
{txt}Iteration 2:  Log pseudolikelihood = {res}-7479.3292
{txt}Iteration 3:  Log pseudolikelihood = {res}-7479.3292

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7479.3292}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7063.4064}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6937.4235}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -6929.707}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -6928.648}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6928.5996}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-6928.5994}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:5,256}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:5,256}
{txt}No. of failures = {res}{ralign 7:3,660}
{txt}Time at risk    = {res}{ralign 7:576,720}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(18)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-6928.5994{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} 1.273092{col 29}{space 2} .8273379{col 40}{space 1}    0.37{col 49}{space 3}0.710{col 57}{space 4} .3562002{col 70}{space 3} 4.550151
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .6193959{col 29}{space 2} .5936944{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4} .0946427{col 70}{space 3} 4.053682
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.270619{col 29}{space 2} 2.228347{col 40}{space 1}    0.84{col 49}{space 3}0.403{col 57}{space 4} .3317338{col 70}{space 3} 15.54171
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .1193236{col 29}{space 2} .1431515{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4} .0113644{col 70}{space 3}  1.25287
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9768585{col 29}{space 2} .0289112{col 40}{space 1}   -0.79{col 49}{space 3}0.429{col 57}{space 4} .9218059{col 70}{space 3} 1.035199
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9888622{col 29}{space 2} .0037946{col 40}{space 1}   -2.92{col 49}{space 3}0.004{col 57}{space 4} .9814528{col 70}{space 3} .9963274
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .6618573{col 29}{space 2} .1253547{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4} .4566129{col 70}{space 3} .9593576
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} .9993101{col 29}{space 2} .0044636{col 40}{space 1}   -0.15{col 49}{space 3}0.877{col 57}{space 4} .9905998{col 70}{space 3} 1.008097
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 3.110115{col 29}{space 2} .4291534{col 40}{space 1}    8.22{col 49}{space 3}0.000{col 57}{space 4} 2.373134{col 70}{space 3} 4.075967
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .9690635{col 29}{space 2} .0861443{col 40}{space 1}   -0.35{col 49}{space 3}0.724{col 57}{space 4}  .814114{col 70}{space 3} 1.153505
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}   .81115{col 29}{space 2} .0687454{col 40}{space 1}   -2.47{col 49}{space 3}0.014{col 57}{space 4} .6870074{col 70}{space 3} .9577252
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999829{col 29}{space 2} .0000524{col 40}{space 1}   -0.33{col 49}{space 3}0.744{col 57}{space 4} .9998802{col 70}{space 3} 1.000086
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0181389{col 29}{space 2} .0365951{col 40}{space 1}   -1.99{col 49}{space 3}0.047{col 57}{space 4} .0003478{col 70}{space 3} .9460162
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002003{col 29}{space 2} .0013457{col 40}{space 1}    1.49{col 49}{space 3}0.136{col 57}{space 4} .9993692{col 70}{space 3} 1.004644
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9658185{col 29}{space 2} .0560475{col 40}{space 1}   -0.60{col 49}{space 3}0.549{col 57}{space 4} .8619844{col 70}{space 3}  1.08216
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .8264772{col 29}{space 2} .0606826{col 40}{space 1}   -2.60{col 49}{space 3}0.009{col 57}{space 4} .7157032{col 70}{space 3} .9543964
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6424568{col 29}{space 2} .0600862{col 40}{space 1}   -4.73{col 49}{space 3}0.000{col 57}{space 4} .5348533{col 70}{space 3} .7717083
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8667219{col 29}{space 2} .0851198{col 40}{space 1}   -1.46{col 49}{space 3}0.145{col 57}{space 4}  .714964{col 70}{space 3} 1.050692
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .656694{col 29}{space 2} .1710679{col 40}{space 1}   -1.61{col 49}{space 3}0.106{col 57}{space 4} .3941179{col 70}{space 3} 1.094208
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7033016{col 29}{space 2} .1239454{col 40}{space 1}   -2.00{col 49}{space 3}0.046{col 57}{space 4} .4978875{col 70}{space 3} .9934637
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8374334{col 29}{space 2}  .110426{col 40}{space 1}   -1.35{col 49}{space 3}0.178{col 57}{space 4} .6467088{col 70}{space 3} 1.084406
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8976823{col 29}{space 2} .1366713{col 40}{space 1}   -0.71{col 49}{space 3}0.478{col 57}{space 4} .6660825{col 70}{space 3}  1.20981
{txt}{space 9}social {c |}{col 17}{res}{space 2}  .728374{col 29}{space 2} .0565019{col 40}{space 1}   -4.09{col 49}{space 3}0.000{col 57}{space 4}   .62564{col 70}{space 3} .8479775
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.406879{col 29}{space 2} .1931671{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} 1.074942{col 70}{space 3} 1.841316
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.106407{col 29}{space 2} .0763963{col 40}{space 1}    1.46{col 49}{space 3}0.143{col 57}{space 4}  .966363{col 70}{space 3} 1.266746
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} 1.022017{col 29}{space 2} .0890507{col 40}{space 1}    0.25{col 49}{space 3}0.803{col 57}{space 4} .8615713{col 70}{space 3} 1.212343
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.221033{col 29}{space 2} .1159007{col 40}{space 1}    2.10{col 49}{space 3}0.035{col 57}{space 4} 1.013751{col 70}{space 3} 1.470698
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9376807{col 29}{space 2} .1921846{col 40}{space 1}   -0.31{col 49}{space 3}0.754{col 57}{space 4} .6274727{col 70}{space 3} 1.401248
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  1.45593{col 29}{space 2} .1907329{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} 1.126237{col 70}{space 3} 1.882138
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.273045{col 29}{space 2} .8035952{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} 1.136791{col 70}{space 3} 4.545016
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.787777{col 29}{space 2}  .388395{col 40}{space 1}    2.67{col 49}{space 3}0.007{col 57}{space 4} 1.167857{col 70}{space 3} 2.736763
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.622069{col 29}{space 2} .3883229{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} 1.014594{col 70}{space 3} 2.593265
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.302211{col 29}{space 2} .1951195{col 40}{space 1}    1.76{col 49}{space 3}0.078{col 57}{space 4} .9708229{col 70}{space 3} 1.746719
{txt}{space 13}8  {c |}{col 17}{res}{space 2}  1.58632{col 29}{space 2} .7880163{col 40}{space 1}    0.93{col 49}{space 3}0.353{col 57}{space 4} .5991697{col 70}{space 3} 4.199828
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9610682{col 29}{space 2}  .180127{col 40}{space 1}   -0.21{col 49}{space 3}0.832{col 57}{space 4} .6656085{col 70}{space 3} 1.387681
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.228369{col 29}{space 2}  .351843{col 40}{space 1}    0.72{col 49}{space 3}0.473{col 57}{space 4} .7006777{col 70}{space 3} 2.153473
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.103206{col 29}{space 2} .7318672{col 40}{space 1}    2.14{col 49}{space 3}0.033{col 57}{space 4} 1.063367{col 70}{space 3} 4.159876
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.690926{col 29}{space 2} .6179575{col 40}{space 1}    1.44{col 49}{space 3}0.151{col 57}{space 4} .8261305{col 70}{space 3} 3.460992
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6411157{col 29}{space 2}  .142142{col 40}{space 1}   -2.01{col 49}{space 3}0.045{col 57}{space 4} .4151607{col 70}{space 3} .9900487
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .6705071{col 29}{space 2} .3415868{col 40}{space 1}   -0.78{col 49}{space 3}0.433{col 57}{space 4} .2470373{col 70}{space 3} 1.819886
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 3.967785{col 29}{space 2} 1.852627{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} 1.588941{col 70}{space 3} 9.908061
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.391697{col 29}{space 2} .5912933{col 40}{space 1}    0.78{col 49}{space 3}0.437{col 57}{space 4} .6051912{col 70}{space 3} 3.200343
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .3700535{col 29}{space 2} .0787813{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4} .2438096{col 70}{space 3} .5616661
{txt}{space 12}18  {c |}{col 17}{res}{space 2} 4.665279{col 29}{space 2} 1.695883{col 40}{space 1}    4.24{col 49}{space 3}0.000{col 57}{space 4}    2.288{col 70}{space 3}   9.5126
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4138175{col 29}{space 2} .1154332{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4} .2395348{col 70}{space 3} .7149064
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.108298{col 29}{space 2} .1314047{col 40}{space 1}    0.87{col 49}{space 3}0.386{col 57}{space 4} .8784852{col 70}{space 3} 1.398231
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}4  {c |}{col 17}{res}{space 2} 1.266531{col 29}{space 2}  .529733{col 40}{space 1}    0.56{col 49}{space 3}0.572{col 57}{space 4} .5579515{col 70}{space 3} 2.874982
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7677545{col 29}{space 2} .3945359{col 40}{space 1}   -0.51{col 49}{space 3}0.607{col 57}{space 4} .2804171{col 70}{space 3} 2.102037
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 5.003307{col 29}{space 2} 7.501934{col 40}{space 1}    1.07{col 49}{space 3}0.283{col 57}{space 4} .2648316{col 70}{space 3} 94.52453
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0526986{col 29}{space 2} .0193695{col 40}{space 1}    2.72{col 49}{space 3}0.007{col 57}{space 4} .0147351{col 70}{space 3} .0906621
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.054112{col 29}{space 2} .0204176{col 57}{space 4} 1.014844{col 70}{space 3} 1.094899
{txt}            1/p {c |}{col 17}{res}{space 2} .9486659{col 29}{space 2} .0183752{col 57}{space 4} .9133262{col 70}{space 3} .9853729
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.4096805      -.4312148
{txt} 5%    {res}-.4026805      -.4312148
{txt}10%    {res} -.384061       -.412061       {txt}Obs         {res}      3,173
{txt}25%    {res} -.331061       -.412061       {txt}Sum of wgt. {res}      3,173

{txt}50%    {res}-.1503832                      {txt}Mean          {res}-.1142773
                        {txt}Largest       Std. dev.     {res} .2324487
{txt}75%    {res} .1149552        .490939
{txt}90%    {res}  .166939        .490939       {txt}Variance      {res} .0540324
{txt}95%    {res} .3246168        .490939       {txt}Skewness      {res} .4532961
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.031865
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.0184062      -.0184062
{txt} 5%    {res} .0905807      -.0184062
{txt}10%    {res} .2121217      -.0184062       {txt}Obs         {res}      2,083
{txt}25%    {res}  .256939      -.0184062       {txt}Sum of wgt. {res}      2,083

{txt}50%    {res} .3563195                      {txt}Mean          {res} .3443237
                        {txt}Largest       Std. dev.     {res}  .116136
{txt}75%    {res} .4655938        .490939
{txt}90%    {res}  .490939        .490939       {txt}Variance      {res} .0134876
{txt}95%    {res}  .490939        .490939       {txt}Skewness      {res}-.6764834
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 3.071356
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.32116+1.sendivide#c.committee_pres1*0.241889)-committee_pres1*0.32116

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.219403{col 26}{space 2} .2894689{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4} .7657452{col 67}{space 3} 1.941827
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC23 = r(table)
{txt}
{com}. mat list modelC23
{res}
{txt}modelC23[9,1]
               (1)
     b {res} 1.2194033
{txt}    se {res} .28946893
{txt}     z {res} .83560919
{txt}pvalue {res}  .4033748
{txt}    ll {res} .76574523
{txt}    ul {res} 1.9418267
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. * "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C24: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev  if  preshighcomdelay==1, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-7495.3973
{txt}Iteration 1:  Log pseudolikelihood = {res} -7479.331
{txt}Iteration 2:  Log pseudolikelihood = {res}-7479.3292
{txt}Iteration 3:  Log pseudolikelihood = {res}-7479.3292

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7479.3292}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7037.3924}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6900.9697}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6892.8752}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6891.7864}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -6891.732}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-6891.7319}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:5,256}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:5,256}
{txt}No. of failures = {res}{ralign 7:3,660}
{txt}Time at risk    = {res}{ralign 7:576,720}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(18)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-6891.7319{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 2.311299{col 29}{space 2} .9366322{col 40}{space 1}    2.07{col 49}{space 3}0.039{col 57}{space 4} 1.044515{col 70}{space 3} 5.114434
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1833048{col 29}{space 2} .1755647{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4} .0280488{col 70}{space 3} 1.197935
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 4.811153{col 29}{space 2} 4.235105{col 40}{space 1}    1.78{col 49}{space 3}0.074{col 57}{space 4} .8569661{col 70}{space 3} 27.01063
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .0880178{col 29}{space 2} .1061074{col 40}{space 1}   -2.02{col 49}{space 3}0.044{col 57}{space 4} .0082876{col 70}{space 3} .9347859
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} .9896123{col 29}{space 2} .0040358{col 40}{space 1}   -2.56{col 49}{space 3}0.010{col 57}{space 4} .9817339{col 70}{space 3} .9975539
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9896307{col 29}{space 2}  .003874{col 40}{space 1}   -2.66{col 49}{space 3}0.008{col 57}{space 4} .9820668{col 70}{space 3} .9972528
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .6631422{col 29}{space 2}   .09213{col 40}{space 1}   -2.96{col 49}{space 3}0.003{col 57}{space 4} .5050677{col 70}{space 3} .8706902
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.000868{col 29}{space 2} .0042037{col 40}{space 1}    0.21{col 49}{space 3}0.836{col 57}{space 4} .9926629{col 70}{space 3} 1.009141
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.892116{col 29}{space 2} .3614035{col 40}{space 1}    8.50{col 49}{space 3}0.000{col 57}{space 4} 2.263853{col 70}{space 3} 3.694735
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .9672907{col 29}{space 2} .0796341{col 40}{space 1}   -0.40{col 49}{space 3}0.686{col 57}{space 4} .8231523{col 70}{space 3} 1.136669
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8421965{col 29}{space 2} .0626507{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4} .7279354{col 70}{space 3} .9743927
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  1.00001{col 29}{space 2}  .000051{col 40}{space 1}    0.20{col 49}{space 3}0.839{col 57}{space 4} .9999104{col 70}{space 3}  1.00011
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0241614{col 29}{space 2} .0479251{col 40}{space 1}   -1.88{col 49}{space 3}0.061{col 57}{space 4} .0004951{col 70}{space 3} 1.179006
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001719{col 29}{space 2} .0013263{col 40}{space 1}    1.30{col 49}{space 3}0.195{col 57}{space 4} .9991224{col 70}{space 3} 1.004322
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9621073{col 29}{space 2} .0585865{col 40}{space 1}   -0.63{col 49}{space 3}0.526{col 57}{space 4} .8538675{col 70}{space 3} 1.084068
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .8206601{col 29}{space 2} .0552928{col 40}{space 1}   -2.93{col 49}{space 3}0.003{col 57}{space 4} .7191388{col 70}{space 3} .9365132
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6279522{col 29}{space 2} .0613042{col 40}{space 1}   -4.77{col 49}{space 3}0.000{col 57}{space 4} .5185941{col 70}{space 3} .7603711
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8895416{col 29}{space 2} .0871306{col 40}{space 1}   -1.19{col 49}{space 3}0.232{col 57}{space 4} .7341606{col 70}{space 3} 1.077808
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6618818{col 29}{space 2} .1651771{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4} .4058423{col 70}{space 3} 1.079453
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7277228{col 29}{space 2} .1237801{col 40}{space 1}   -1.87{col 49}{space 3}0.062{col 57}{space 4} .5214145{col 70}{space 3} 1.015661
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8405259{col 29}{space 2}  .123419{col 40}{space 1}   -1.18{col 49}{space 3}0.237{col 57}{space 4}  .630325{col 70}{space 3} 1.120825
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9046505{col 29}{space 2} .1420007{col 40}{space 1}   -0.64{col 49}{space 3}0.523{col 57}{space 4} .6650738{col 70}{space 3} 1.230529
{txt}{space 9}social {c |}{col 17}{res}{space 2}  .747642{col 29}{space 2} .0601599{col 40}{space 1}   -3.61{col 49}{space 3}0.000{col 57}{space 4} .6385586{col 70}{space 3} .8753599
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.352584{col 29}{space 2} .1860663{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} 1.032928{col 70}{space 3} 1.771163
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.086041{col 29}{space 2}  .082652{col 40}{space 1}    1.08{col 49}{space 3}0.278{col 57}{space 4} .9355488{col 70}{space 3} 1.260741
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} 1.028186{col 29}{space 2}  .090664{col 40}{space 1}    0.32{col 49}{space 3}0.753{col 57}{space 4} .8649961{col 70}{space 3} 1.222164
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.239167{col 29}{space 2} .1167024{col 40}{space 1}    2.28{col 49}{space 3}0.023{col 57}{space 4} 1.030304{col 70}{space 3} 1.490371
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.270151{col 29}{space 2} .2499752{col 40}{space 1}    1.22{col 49}{space 3}0.224{col 57}{space 4} .8636399{col 70}{space 3} 1.868006
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.624851{col 29}{space 2} .1594851{col 40}{space 1}    4.95{col 49}{space 3}0.000{col 57}{space 4} 1.340495{col 70}{space 3} 1.969528
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.806476{col 29}{space 2}  .737398{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4} 1.676908{col 70}{space 3} 4.696923
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  2.33768{col 29}{space 2} .4778063{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 1.566048{col 70}{space 3} 3.489515
{txt}{space 13}6  {c |}{col 17}{res}{space 2}   2.3109{col 29}{space 2} .4919292{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4}  1.52259{col 70}{space 3} 3.507352
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.450746{col 29}{space 2} .1673935{col 40}{space 1}    3.22{col 49}{space 3}0.001{col 57}{space 4} 1.157113{col 70}{space 3} 1.818891
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 2.131364{col 29}{space 2} .8782649{col 40}{space 1}    1.84{col 49}{space 3}0.066{col 57}{space 4} .9503979{col 70}{space 3}   4.7798
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.324148{col 29}{space 2} .2070552{col 40}{space 1}    1.80{col 49}{space 3}0.073{col 57}{space 4} .9746203{col 70}{space 3} 1.799027
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.436052{col 29}{space 2} .4045524{col 40}{space 1}    1.28{col 49}{space 3}0.199{col 57}{space 4} .8267552{col 70}{space 3} 2.494385
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.544251{col 29}{space 2} .7643213{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4} 1.412048{col 70}{space 3} 4.584272
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.860588{col 29}{space 2} .7067142{col 40}{space 1}    1.63{col 49}{space 3}0.102{col 57}{space 4} .8837611{col 70}{space 3} 3.917106
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7494483{col 29}{space 2} .1290908{col 40}{space 1}   -1.67{col 49}{space 3}0.094{col 57}{space 4} .5347172{col 70}{space 3} 1.050411
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .7686662{col 29}{space 2} .2797877{col 40}{space 1}   -0.72{col 49}{space 3}0.470{col 57}{space 4} .3766239{col 70}{space 3}   1.5688
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 4.476805{col 29}{space 2} 1.926879{col 40}{space 1}    3.48{col 49}{space 3}0.000{col 57}{space 4} 1.925747{col 70}{space 3} 10.40728
{txt}{space 12}16  {c |}{col 17}{res}{space 2}  1.74793{col 29}{space 2} .5984505{col 40}{space 1}    1.63{col 49}{space 3}0.103{col 57}{space 4} .8934959{col 70}{space 3} 3.419445
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .4166723{col 29}{space 2} .0768265{col 40}{space 1}   -4.75{col 49}{space 3}0.000{col 57}{space 4} .2903014{col 70}{space 3} .5980537
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  5.04379{col 29}{space 2} 1.768574{col 40}{space 1}    4.61{col 49}{space 3}0.000{col 57}{space 4} 2.536813{col 70}{space 3} 10.02826
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4277626{col 29}{space 2} .0899164{col 40}{space 1}   -4.04{col 49}{space 3}0.000{col 57}{space 4} .2833211{col 70}{space 3} .6458426
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.228527{col 29}{space 2}  .114413{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} 1.023557{col 70}{space 3} 1.474542
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}4  {c |}{col 17}{res}{space 2} 1.389652{col 29}{space 2} .5104498{col 40}{space 1}    0.90{col 49}{space 3}0.370{col 57}{space 4} .6764579{col 70}{space 3}  2.85477
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.001887{col 29}{space 2} .4377944{col 40}{space 1}    0.00{col 49}{space 3}0.997{col 57}{space 4} .4254703{col 70}{space 3} 2.359218
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.214753{col 29}{space 2} 3.327033{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4} .1165838{col 70}{space 3} 42.07386
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0624331{col 29}{space 2} .0184318{col 40}{space 1}    3.39{col 49}{space 3}0.001{col 57}{space 4} .0263075{col 70}{space 3} .0985587
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.064423{col 29}{space 2} .0196192{col 57}{space 4} 1.026657{col 70}{space 3} 1.103579
{txt}            1/p {c |}{col 17}{res}{space 2} .9394759{col 29}{space 2} .0173162{col 57}{space 4} .9061425{col 70}{space 3} .9740356
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5493055      -.5493055
{txt} 5%    {res}-.5463055      -.5493055
{txt}10%    {res}-.4852139      -.5493055       {txt}Obs         {res}      3,173
{txt}25%    {res}-.4387927      -.5493055       {txt}Sum of wgt. {res}      3,173

{txt}50%    {res}-.3046792                      {txt}Mean          {res}-.2576272
                        {txt}Largest       Std. dev.     {res} .2632531
{txt}75%    {res}-.1663055       .6940686
{txt}90%    {res}-.0227167       .6940686       {txt}Variance      {res} .0693022
{txt}95%    {res} .4516945       .6940686       {txt}Skewness      {res} 1.618625
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 5.673665
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res} .1968486       -.218764
{txt} 5%    {res} .2277861       -.218764
{txt}10%    {res} .2674087       -.218764       {txt}Obs         {res}      2,083
{txt}25%    {res} .4136681       -.218764       {txt}Sum of wgt. {res}      2,083

{txt}50%    {res} .4892833                      {txt}Mean          {res} .4915223
                        {txt}Largest       Std. dev.     {res}  .149499
{txt}75%    {res} .5828941       .7534087
{txt}90%    {res} .6940686       .7534087       {txt}Variance      {res}   .02235
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6113941
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 4.123133
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.271+1.sendivide#c.chair_pres1*0.2354347)-chair_pres1*0.271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.447522{col 26}{space 2} .2999926{col 37}{space 1}    1.78{col 46}{space 3}0.074{col 54}{space 4} .9643114{col 67}{space 3} 2.172866
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelC24= r(table)
{txt}
{com}. mat list modelC24
{res}
{txt}modelC24[9,1]
               (1)
     b {res} 1.4475219
{txt}    se {res} .29999261
{txt}     z {res} 1.7846118
{txt}pvalue {res}  .0743243
{txt}    ll {res} .96431144
{txt}    ul {res} 2.1728661
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
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. **** CREATE FIGURE C6 BASED ON MODELS C21-C24 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
.  
. **** FIGURE C6 ****
. 
. matrix G = J(4, 3, .)
{txt}
{com}. matrix coln G = Point ll95 ul95
{txt}
{com}. matrix rown G = 1 2 3 4
{txt}
{com}. 
. matrix G[1,1] = modelC21[1,1]
{txt}
{com}. matrix G[1,2] = modelC21[5,1]
{txt}
{com}. matrix G[1,3] = modelC21[6,1]
{txt}
{com}. 
. matrix G[2,1] = modelC22[1,1]
{txt}
{com}. matrix G[2,2] = modelC22[5,1]
{txt}
{com}. matrix G[2,3] = modelC22[6,1]
{txt}
{com}. 
. matrix G[3,1] = modelC23[1,1]
{txt}
{com}. matrix G[3,2] = modelC23[5,1]
{txt}
{com}. matrix G[3,3] = modelC23[6,1]
{txt}
{com}. 
. matrix G[4,1] = modelC24[1,1]
{txt}
{com}. matrix G[4,2] = modelC24[5,1]
{txt}
{com}. matrix G[4,3] = modelC24[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(G[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C21" 2 "Model C22" 3 "Model C23" 4 "Model C24", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C6", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Only 'High Committee Delay' Presidential Administrations)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}.  
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. *graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC6.gph", replace
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC6.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC6.gph} saved

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. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX C RESULTS.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Dec 2024, 21:59:02
{txt}{.-}
{smcl}
{txt}{sf}{ul off}